Common Types and Functions

Classes
struct	hpro_
union	acc_u

Typedefs
typedef union hpro_ acc_u	acc_t
typedef void(*	hpro_) (const int errcode, const char *errmsg)

Enumerations
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	hpro_ {   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	{ HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	{   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,   HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
enum	{ HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }

Functions
void hpro_	init (int *info)
void hpro_	done (int *info)
int hpro_	is_init ()
void hpro_	error_desc (char *desc, const size_t size)

Coordinates
hpro_ coord_t hpro_	coord_import (const size_t n, const unsigned int dim, double **coord, const double *period, int *info)
size_t hpro_	coord_ncoord (const hpro_ coord_t coord, int *info)
unsigned int hpro_	coord_dim (const hpro_ coord_t coord, int *info)
double *hpro_	coord_get (const hpro_ coord_t coord, const size_t i, int *info)
double *hpro_	coord_bbmin (const hpro_ coord_t coord, const size_t i, int *info)
double *hpro_	coord_bbmax (const hpro_ coord_t coord, const size_t i, int *info)
int hpro_	coord_has_bbox (const hpro_ coord_t coord, int *info)
void hpro_	coord_set_period (hpro_ coord_t coord, const double period[], int *info)
void hpro_	coord_get_period (hpro_ coord_t coord, double period[], int *info)
void hpro_	coord_free (hpro_ coord_t coord, int *info)
size_t hpro_	coord_bytesize (const hpro_ coord_t coord, int *info)
void hpro_	coord_print_vrml (const hpro_ coord_t coord, const char *filename, int *info)
void hpro_	coord_print_vtk (const hpro_ coord_t coord, const char *filename, int *info)

Admissibility condition
hpro_ admcond_t hpro_	admcond_geom (const hpro_ adm_t crit, const double eta, int *info)
hpro_ admcond_t hpro_	admcond_geom_period (const hpro_ adm_t crit, const double eta, const double *period, const unsigned int dim, int *info)
void hpro_	admcond_free (const hpro_ admcond_t ac, int *info)

Clusters
Nodes and sub trees in a cluster tree.
int hpro_	cl_first (const hpro_ cluster_t cl, int *info)
int hpro_	cl_last (const hpro_ cluster_t cl, int *info)
size_t hpro_	cl_size (const hpro_ cluster_t cl, int *info)
size_t hpro_	cl_nsons (const hpro_ cluster_t cl, int *info)
hpro_ cluster_t hpro_	cl_son (const hpro_ cluster_t cl, const unsigned int i, int *info)
int hpro_	cl_is_leaf (const hpro_ cluster_t cl, int *info)
size_t hpro_	cl_nnodes (const hpro_ cluster_t cl, int *info)
size_t hpro_	cl_depth (const hpro_ cluster_t cl, int *info)
hpro_ cluster_t hpro_	cl_copy (const hpro_ cluster_t cl, int *info)
void hpro_	cl_free (hpro_ cluster_t cl, int *info)
size_t hpro_	cl_bytesize (const hpro_ cluster_t cl, int *info)
void hpro_	cl_print_ps (const hpro_ cluster_t cl, const char *filename, int *info)

Cluster Trees
Root of a cluster tree with stored index permutations.
hpro_ clustertree_t hpro_	clt_build_bsp (const hpro_ coord_t coord, const hpro_ bsp_t bsptype, const unsigned int nmin, int *info)
hpro_ clustertree_t hpro_	clt_build_bsp_part (const hpro_ coord_t coord, const unsigned int *partition, const int eq_depth, const hpro_ bsp_t bsptype, const unsigned int nmin, int *info)
hpro_ cluster_t hpro_	clt_root (hpro_ clustertree_t ct, int *info)
hpro_ permutation_t hpro_	clt_perm_i2e (hpro_ clustertree_t ct, int *info)
hpro_ permutation_t hpro_	clt_perm_e2i (hpro_ clustertree_t ct, int *info)
void hpro_	clt_free (hpro_ clustertree_t ct, int *info)
size_t hpro_	clt_bytesize (const hpro_ clustertree_t ct, int *info)
size_t hpro_	clt_nnodes (const hpro_ clustertree_t ct, int *info)
size_t hpro_	clt_depth (const hpro_ clustertree_t ct, int *info)
void hpro_	clt_print_ps (const hpro_ clustertree_t ct, const char *filename, int *info)

Block Clusters
Nodes and sub trees of block cluster trees.
hpro_ blockcluster_t hpro_	bc_parent (const hpro_ blockcluster_t bc, int *info)
size_t hpro_	bc_nsons (const hpro_ blockcluster_t bc, int *info)
hpro_ blockcluster_t hpro_	bc_son (const hpro_ blockcluster_t bc, const unsigned int i, const unsigned int j, int *info)
int hpro_	bc_is_leaf (const hpro_ blockcluster_t bc, int *info)
int hpro_	bc_is_adm (const hpro_ blockcluster_t bc, int *info)
size_t hpro_	bc_nnodes (const hpro_ blockcluster_t bc, int *info)
size_t hpro_	bc_depth (const hpro_ blockcluster_t bc, int *info)
hpro_ cluster_t hpro_	bc_rowcl (const hpro_ blockcluster_t bc, int *info)
hpro_ cluster_t hpro_	bc_colcl (const hpro_ blockcluster_t bc, int *info)
hpro_ blockcluster_t hpro_	bc_copy (const hpro_ blockcluster_t bc, int *info)
void hpro_	bc_free (hpro_ blockcluster_t bc, int *info)
size_t hpro_	bc_bytesize (const hpro_ blockcluster_t bc, int *info)
int hpro_	bc_csp (const hpro_ blockcluster_t bc, int *info)
void hpro_	bc_print_ps (const hpro_ blockcluster_t bc, const char *filename, int *info)

Block Cluster Trees
Root of block cluster trees with access to index permutations.
hpro_ blockclustertree_t hpro_	bct_build (const hpro_ clustertree_t rowct, const hpro_ clustertree_t colct, const hpro_ admcond_t ac, int *info)
size_t hpro_	bct_nnodes (const hpro_ blockclustertree_t bct, int *info)
size_t hpro_	bct_depth (const hpro_ blockclustertree_t bct, int *info)
hpro_ clustertree_t hpro_	bct_rowct (const hpro_ blockclustertree_t bct, int *info)
hpro_ clustertree_t hpro_	bct_colct (const hpro_ blockclustertree_t bct, int *info)
void hpro_	bct_free (hpro_ blockclustertree_t bct, int *info)
size_t hpro_	bct_bytesize (const hpro_ blockclustertree_t bct, int *info)
void hpro_	bct_distribute_block (hpro_ blockclustertree_t bct, const unsigned int p, const unsigned int min_lvl, const int symmetric, int *info)
int hpro_	bct_csp (const hpro_ blockclustertree_t bct, int *info)
void hpro_	bct_print_ps (const hpro_ blockclustertree_t bct, const char *filename, int *info)

Solver
hpro_ solver_t hpro_	solver_auto (int *info)
hpro_ solver_t hpro_	solver_linear_iteration (int *info)
hpro_ solver_t hpro_	solver_richardson (int *info)
hpro_ solver_t hpro_	solver_cg (int *info)
hpro_ solver_t hpro_	solver_cgs (int *info)
hpro_ solver_t hpro_	solver_bicgstab (int *info)
hpro_ solver_t hpro_	solver_tfqmr (int *info)
hpro_ solver_t hpro_	solver_minres (int *info)
hpro_ solver_t hpro_	solver_gmres (const int restart, int *info)
void hpro_	solver_stopcrit (hpro_ solver_t solver, const int maxit, const double abs_red, const double rel_red, int *info)
void hpro_	solver_initialise_start_value (hpro_ solver_t solver, const int flag, int *info)
void hpro_	solver_use_exact_residual (hpro_ solver_t solver, const int flag, int *info)
void hpro_	solver_free (hpro_ solver_t solver, int *info)

Input/Output
hpro_ coord_t hpro_	hformat_load_coord (const char *filename, int *info)
void hpro_	hformat_save_coord (const hpro_ coord_t coord, const char *filename, int *info)
void hpro_	samg_save_coord (const hpro_ coord_t coord, const char *filename, int *info)
hpro_ coord_t hpro_	samg_load_coord (const char *filename, int *info)
hpro_ coord_t hpro_	load_coord (const char *filename, int *info)

Accuracy Management
hpro_ acc_t hpro_	acc_fixed_eps (const double eps)
hpro_ acc_t hpro_	acc_fixed_rank (const unsigned int k)
hpro_ acc_t hpro_	acc_blocked (const hpro_ acc_t *blockacc)

Misc.
double hpro_	walltime ()
double hpro_	cputime ()
void hpro_	set_n_min (const unsigned int n)
void hpro_	set_verbosity (const unsigned int verb)
void hpro_	set_abs_eps (const double eps)
void hpro_	set_coarsening (const int build, const int arith)
void hpro_	set_recompress (const int recompress)
void hpro_	set_diag_scale (const int scale)
void hpro_	set_nthreads (const unsigned int p)
void hpro_	set_progress_cb (hpro_ progressfn_t fn, void *arg)
void hpro_	set_config (const char *option, const char *value, int *info)
void hpro_	get_config (const char *option, char *value, const size_t len, int *info)
void hpro_	print_parameters ()
void hpro_	set_error_fn (const hpro_ errorfn_t errorfn)
void hpro_	set_warning_fn (const hpro_ errorfn_t warnfn)
unsigned int hpro_	major_version ()
unsigned int hpro_	minor_version ()

Detailed Description

Types and Functions common to (or independent of) all value types.

Typedef Documentation

acc_t

typedef union hpro_ acc_u acc_t

general accuracy description type

hpro_

typedef void(* hpro_)(const double *values, int *cancel, void *arg)

error/warning handler function types

callback function for progress information

Enumeration Type Documentation

anonymous enum

anonymous enum

matrix printing options (can be combined)

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

anonymous enum

anonymous enum

list of error codes

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

anonymous enum

anonymous enum

fields in value array progress bar callback function

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [1/6]

enum hpro_

defines operation on matrices

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [2/6]

enum hpro_

partitioning algorithms for binary sparse partitioning

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [3/6]

enum hpro_

partitioning algorithms for algebraic clustering

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [4/6]

enum hpro_

admissibility criteria

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [5/6]

enum hpro_

different types of accuracy

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

hpro_ [6/6]

enum hpro_

different types of low rank approximation

Enumerator
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar
HPRO_CONST_PF	normal matrix, no modification transposed matrix adjoint operator: transpose (real) or conjugate transpose (complex) automatic choice geometrically balanced clustering w.r.t. maximal dimension or regularly cardinality balanced clustering clustering based on principle component BFS graph partitioning MultiLevel graph partitioning METIS library SCOTCH library automatically decide suitable adm. condition standard admissibility with min. of diameters standard admissibility with max. of diameters weak admissibility fixed accuracy for all blocks fixed rank for all blocks different accuracy for one block level arbitrary accuracy description use singular value decomposition use adaptive cross approximation use advanced adaptive cross approximation use adaptive cross approximation with full pivot search use hybrid cross approximation build empty low-rank blocks (nearfield only) use randomized SVD uses rank revealing QR print singular value decomposition in each block print each entry of matrix print sparsity pattern (non-zero entries) no error occured not initialised invalid license functionality not implemented general consistency error communication error permission denied general exception error data is real valued data is not real valued data is complex valued data is not complex valued invalid mixing of real and complex data division by zero sqrt of negative number infinity occured not-a-number occured iteration did not converge error with argument insufficient memory available null pointer encountered size of data incorrect invalid or incompatible dimension out-of-bound error in array entry is not on diagonal invalid coordinates invalid cluster tree wrong type of cluster tree invalid structure of cluster tree given cluster trees are incompatible missing sparse matrix for given cluster tree invalid block cluster tree invalid block cluster tree structure invalid vector wrong vector type invalid vector structure invalid size of vector vector with incompatible dimension vector is not a scalar vector invalid matrix type invalid structure of matrix invalid size of matrix singular matrix detected matrix not a sparse matrix matrix not a dense matrix matrix not an H-matrix matrices with incompatible type matrices with incompatible cluster tree invalid matrix matrix not symmetric matrix not hermitian matrix not positiv definite error while parsing HLIBpro format error while parsing SAMG format error while parsing Matlab format error while parsing PLTMG format error while parsing Harwell Boeing format error while parsing Matrix Market format error while parsing Ply format invalid format of grid file invalid data in grid file could not open file could not close file could not write to file could not read from file could not seek in file file does not exists size of bytestream too small error while writing to bytestream error while reading from bytestream type error in bytestream general data error in bytestream no zlib support compiled in error during zlib uncompression no METIS support compiled in no Scotch support compiled in error in call to Scotch function no Chaco support compiled in no libGraph support compiled in no FFTW3 support compiled in no Cairo support compiled in no HDF5 support compiled in no Mongoose support compiled in error in call to MPI function invalid solver invalid low-rank approximation type invalid grid invalid function space minimal value of progress bar maximal value of progress bar current value of progress bar

Function Documentation

acc_blocked()

hpro_ acc_t hpro_ acc_blocked

(

const hpro_ acc_t *

blockacc

)

return accuracy object with blockwise accuracy defined by array blockacc of dimension blockrows × blockcolumns corresponding to first partitioning level; the array must be stored column wise

acc_fixed_eps()

hpro_ acc_t hpro_ acc_fixed_eps

(

const double

eps

)

return accuracy object with fixed accuracy eps

acc_fixed_rank()

hpro_ acc_t hpro_ acc_fixed_rank

(

const unsigned int

k

)

return accuracy object with fixed rank k

admcond_free()

void hpro_ admcond_free	(	const hpro_ admcond_t	ac,
		int *	info
	)

create admissibility condition for high/low frequency case by limiting the number of wavelengths (nwaves) per cluster free admissibility condition

admcond_geom()

hpro_ admcond_t hpro_ admcond_geom	(	const hpro_ adm_t	crit,
		const double	eta,
		int *	info
	)

create admissibility condition based on geometrical data

admcond_geom_period()

hpro_ admcond_t hpro_ admcond_geom_period	(	const hpro_ adm_t	crit,
		const double	eta,
		const double *	period,
		const unsigned int	dim,
		int *	info
	)

create admissibility condition based on geometrical data with additional periodicity in geometry defined by vector period

• period must have same dimension dim as coordinates used for constructing cluster trees

bc_bytesize()

size_t hpro_ bc_bytesize	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return size of memory in bytes used by block cluster

bc_colcl()

hpro_ cluster_t hpro_ bc_colcl	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return column cluster of given block cluster

bc_copy()

hpro_ blockcluster_t hpro_ bc_copy	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return copy of sub tree defined by bc

bc_csp()

int hpro_ bc_csp	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

compute sparsity constant of block cluster tree

bc_depth()

size_t hpro_ bc_depth	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return depth of block cluster

bc_free()

void hpro_ bc_free	(	hpro_ blockcluster_t	bc,
		int *	info
	)

free resources coupled with block cluster tree bct

bc_is_adm()

int hpro_ bc_is_adm	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return 1 if block cluster is admissible and 0 otherwise

bc_is_leaf()

int hpro_ bc_is_leaf	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return 1 if block cluster is leaf and 0 otherwise

bc_nnodes()

size_t hpro_ bc_nnodes	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return number of nodes in block cluster

bc_nsons()

size_t hpro_ bc_nsons	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return total number of sons of block cluster bc

bc_parent()

hpro_ blockcluster_t hpro_ bc_parent	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return parent block cluster of block cluster bc

bc_print_ps()

void hpro_ bc_print_ps	(	const hpro_ blockcluster_t	bc,
		const char *	filename,
		int *	info
	)

print block cluster tree in PostScript format to file filename

bc_rowcl()

hpro_ cluster_t hpro_ bc_rowcl	(	const hpro_ blockcluster_t	bc,
		int *	info
	)

return row cluster of given block cluster

bc_son()

hpro_ blockcluster_t hpro_ bc_son	(	const hpro_ blockcluster_t	bc,
		const unsigned int	i,
		const unsigned int	j,
		int *	info
	)

return son (i,j) of block cluster bc

• the indices i and j are with respect to the numbering in the row and column cluster trees

bct_build()

hpro_ blockclustertree_t hpro_ bct_build	(	const hpro_ clustertree_t	rowct,
		const hpro_ clustertree_t	colct,
		const hpro_ admcond_t	ac,
		int *	info
	)

build block cluster tree over given row and column clusters using admissibility condition ac

bct_bytesize()

size_t hpro_ bct_bytesize	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

return size of memory in bytes used by block cluster

bct_colct()

hpro_ clustertree_t hpro_ bct_colct	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

return column cluster tree of given block cluster tree

bct_csp()

int hpro_ bct_csp	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

compute sparsity constant of block cluster tree

bct_depth()

size_t hpro_ bct_depth	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

return depth of block cluster tree

bct_distribute_block()

void hpro_ bct_distribute_block	(	hpro_ blockclustertree_t	bct,
		const unsigned int	p,
		const unsigned int	min_lvl,
		const int	symmetric,
		int *	info
	)

distribute block cluster tree onto p processors based on block-wise partition with unique processor per block

• assuming compatible structure of bct
• min_lvl controls minimal level for blocks in bct to schedule
• if symmetric ≠ 0, the scheduling is performed for the lower left part and mirrored to the upper right part (for symmetric/hermitian matrices)

bct_free()

void hpro_ bct_free	(	hpro_ blockclustertree_t	bct,
		int *	info
	)

free resources coupled with cluster tree ct

bct_nnodes()

size_t hpro_ bct_nnodes	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

return number of nodes in block cluster tree

bct_print_ps()

void hpro_ bct_print_ps	(	const hpro_ blockclustertree_t	bct,
		const char *	filename,
		int *	info
	)

print block cluster tree in PostScript format to file filename

bct_rowct()

hpro_ clustertree_t hpro_ bct_rowct	(	const hpro_ blockclustertree_t	bct,
		int *	info
	)

return row cluster tree of given block cluster tree

cl_bytesize()

size_t hpro_ cl_bytesize	(	const hpro_ cluster_t	cl,
		int *	info
	)

return size of memory in bytes used by cluster

cl_copy()

hpro_ cluster_t hpro_ cl_copy	(	const hpro_ cluster_t	cl,
		int *	info
	)

return copy of sub tree defined by cl

cl_depth()

size_t hpro_ cl_depth	(	const hpro_ cluster_t	cl,
		int *	info
	)

return depth of cluster tree

cl_first()

int hpro_ cl_first	(	const hpro_ cluster_t	cl,
		int *	info
	)

return first index in index set

cl_free()

void hpro_ cl_free	(	hpro_ cluster_t	cl,
		int *	info
	)

free resources coupled with cluster cl

cl_is_leaf()

int hpro_ cl_is_leaf	(	const hpro_ cluster_t	cl,
		int *	info
	)

return 1 if cluster is leaf and 0 otherwise

cl_last()

int hpro_ cl_last	(	const hpro_ cluster_t	cl,
		int *	info
	)

return last index in index set

cl_nnodes()

size_t hpro_ cl_nnodes	(	const hpro_ cluster_t	cl,
		int *	info
	)

return number of nodes in cluster tree

cl_nsons()

size_t hpro_ cl_nsons	(	const hpro_ cluster_t	cl,
		int *	info
	)

return number of sons of cluster

cl_print_ps()

void hpro_ cl_print_ps	(	const hpro_ cluster_t	cl,
		const char *	filename,
		int *	info
	)

print cluster tree in PostScript format to file filename

cl_size()

size_t hpro_ cl_size	(	const hpro_ cluster_t	cl,
		int *	info
	)

return size of index set

cl_son()

hpro_ cluster_t hpro_ cl_son	(	const hpro_ cluster_t	cl,
		const unsigned int	i,
		int *	info
	)

return i'th son of cluster cl

clt_build_bsp()

hpro_ clustertree_t hpro_ clt_build_bsp	(	const hpro_ coord_t	coord,
		const hpro_ bsp_t	bsptype,
		const unsigned int	nmin,
		int *	info
	)

build cluster tree using binary space partitioning

• optional periodicity of the coordinates defined by period, e.g. vector containing stride in all spatial dimensions or NULL if not defined

Parameters

coord	coordinates of indices
bsptype	partitioning type
nmin	minimal cluster size

clt_build_bsp_part()

hpro_ clustertree_t hpro_ clt_build_bsp_part	(	const hpro_ coord_t	coord,
		const unsigned int *	partition,
		const int	eq_depth,
		const hpro_ bsp_t	bsptype,
		const unsigned int	nmin,
		int *	info
	)

build cluster tree using binary space partitioning but use a predefined partition for first step, e.g. first divide indices into groups defined by partition and apply BSP on these sets

• partition must have size "size(coord)" and contain ids ∈ [0,k-1], where k is the total number of partitions
• index "i" will go into group partition[i]
• if eq_depth ≠ 0, the depth of subsequent sub trees (for each partition) is adjusted according to depth of previous sub trees

Parameters

coord	coordinates of indices
partition	predifined partition
eq_depth	equalise depths of subtrees
bsptype	partitioning type
nmin	minimal cluster size

clt_bytesize()

size_t hpro_ clt_bytesize	(	const hpro_ clustertree_t	ct,
		int *	info
	)

return size of memory in bytes used by cluster

clt_depth()

size_t hpro_ clt_depth	(	const hpro_ clustertree_t	ct,
		int *	info
	)

return depth of cluster tree

clt_free()

void hpro_ clt_free	(	hpro_ clustertree_t	ct,
		int *	info
	)

free resources coupled with cluster tree ct

clt_nnodes()

size_t hpro_ clt_nnodes	(	const hpro_ clustertree_t	ct,
		int *	info
	)

return number of nodes in cluster tree

clt_perm_e2i()

hpro_ permutation_t hpro_ clt_perm_e2i	(	hpro_ clustertree_t	ct,
		int *	info
	)

return mapping from external to internal (in cluster tree) ordering

• returned object is reference to internal permutation: do NOT free

clt_perm_i2e()

hpro_ permutation_t hpro_ clt_perm_i2e	(	hpro_ clustertree_t	ct,
		int *	info
	)

return mapping from internal (in cluster tree) to external ordering

• returned object is reference to internal permutation: do NOT free

clt_print_ps()

void hpro_ clt_print_ps	(	const hpro_ clustertree_t	ct,
		const char *	filename,
		int *	info
	)

print cluster tree in PostScript format to file filename

clt_root()

hpro_ cluster_t hpro_ clt_root	(	hpro_ clustertree_t	ct,
		int *	info
	)

return root node in cluster tree

coord_bbmax()

double* hpro_ coord_bbmax	(	const hpro_ coord_t	coord,
		const size_t	i,
		int *	info
	)

return pointer too coordinate of i'th maximal bounding box

coord_bbmin()

double* hpro_ coord_bbmin	(	const hpro_ coord_t	coord,
		const size_t	i,
		int *	info
	)

return pointer too coordinate of i'th minimal bounding box

coord_bytesize()

size_t hpro_ coord_bytesize	(	const hpro_ coord_t	coord,
		int *	info
	)

return size of memory in bytes used by coordinates

coord_dim()

unsigned int hpro_ coord_dim	(	const hpro_ coord_t	coord,
		int *	info
	)

return dimension of coordinates in given coordinate set coord

coord_free()

void hpro_ coord_free	(	hpro_ coord_t	coord,
		int *	info
	)

free resources coupled with coordinates

• if "HPRO_PF(coord_import)" was used to create coord, the memory occupied by coordinate array will NOT be freed

coord_get()

double* hpro_ coord_get	(	const hpro_ coord_t	coord,
		const size_t	i,
		int *	info
	)

return pointer too coordinate i in given coordinate set coord

• the returned value points to an array of size dim(coord)
• to pointer is no copy, so all changes to the data are direct changes to the coordinates

coord_get_period()

void hpro_ coord_get_period	(	hpro_ coord_t	coord,
		double	period[],
		int *	info
	)

store periodicity vector in period

• period must have the same dimensions as the coordinates

coord_has_bbox()

int hpro_ coord_has_bbox	(	const hpro_ coord_t	coord,
		int *	info
	)

return 1, if coordinate set has bounding box info and 0 otherwise

coord_import()

hpro_ coord_t hpro_ coord_import	(	const size_t	n,
		const unsigned int	dim,
		double **	coord,
		const double *	period,
		int *	info
	)

import given coordinates into HLIBpro

• data is directly referenced, not copied, i.e., any later changes to coord will also change coordinate set,
• optional periodicity of the coordinates defined by period, e.g. vector containing stride in all spatial dimensions or NULL if not defined

coord_ncoord()

size_t hpro_ coord_ncoord	(	const hpro_ coord_t	coord,
		int *	info
	)

return number of coordinates in given coordinate set coord

coord_print_vrml()

void hpro_ coord_print_vrml	(	const hpro_ coord_t	coord,
		const char *	filename,
		int *	info
	)

print coordinates in VRML format to file filename

coord_print_vtk()

void hpro_ coord_print_vtk	(	const hpro_ coord_t	coord,
		const char *	filename,
		int *	info
	)

print coordinates in VTK format to file filename

coord_set_period()

void hpro_ coord_set_period	(	hpro_ coord_t	coord,
		const double	period[],
		int *	info
	)

set perdiodicity of coordinates to period

• period must have the same dimensions as the coordinates

cputime()

double hpro_ cputime

(

)

return execution time of program in seconds

done()

void hpro_ done

(

int *

info

)

finalise HLIBpro

error_desc()

void hpro_ error_desc	(	char *	desc,
		const size_t	size
	)

copy description of current error to buffer

get_config()

void hpro_ get_config	(	const char *	option,
		char *	value,
		const size_t	len,
		int *	info
	)

return current value of option, stored as string in value

hformat_load_coord()

hpro_ coord_t hpro_ hformat_load_coord	(	const char *	filename,
		int *	info
	)

read coordinates from file filename

hformat_save_coord()

void hpro_ hformat_save_coord	(	const hpro_ coord_t	coord,
		const char *	filename,
		int *	info
	)

save coordinates to file filename

init()

void hpro_ init

(

int *

info

)

initialise HLIBpro

is_init()

int hpro_ is_init

(

)

return 1 if HLIBpro is initialised and 0 otherwise

load_coord()

hpro_ coord_t hpro_ load_coord	(	const char *	filename,
		int *	info
	)

read coordinates from file filename

major_version()

unsigned int hpro_ major_version

(

)

return major version number of 𝖧𝖫𝖨𝖡𝗉𝗋𝗈

minor_version()

unsigned int hpro_ minor_version

(

)

return minor version number of 𝖧𝖫𝖨𝖡𝗉𝗋𝗈

print_parameters()

void hpro_ print_parameters

(

)

print all internal parameters of HLIBpro with their current value

samg_load_coord()

hpro_ coord_t hpro_ samg_load_coord	(	const char *	filename,
		int *	info
	)

read coordinates from file filename

samg_save_coord()

void hpro_ samg_save_coord	(	const hpro_ coord_t	coord,
		const char *	filename,
		int *	info
	)

write coordinates coord to file filename

set_abs_eps()

void hpro_ set_abs_eps

(

const double

eps

)

define minimal boundary for singular values, e.g. not smaller

set_coarsening()

void hpro_ set_coarsening	(	const int	build,
		const int	arith
	)

enable (1) or disable (0) coarsening during H-matrix building and arithmetic (default: build=1, arith=0)

set_config()

void hpro_ set_config	(	const char *	option,
		const char *	value,
		int *	info
	)

general function to change configuration variables: set option to value

set_diag_scale()

void hpro_ set_diag_scale

(

const int

scale

)

enable (1) or disable (0) diagonal scaling during LU, etc. (default: off)

set_error_fn()

void hpro_ set_error_fn

(

const hpro_ errorfn_t

errorfn

)

set call back function in case of an error

set_n_min()

void hpro_ set_n_min

(

const unsigned int

n

)

set maximal leaf size in cluster trees to n

set_nthreads()

void hpro_ set_nthreads

(

const unsigned int

p

)

set maximal number of threads to use in H arithmetic

set_progress_cb()

void hpro_ set_progress_cb	(	hpro_ progressfn_t	fn,
		void *	arg
	)

set callback function for progress information
if fn == NULL, HLIBpro uses default progress output

set_recompress()

void hpro_ set_recompress

(

const int

recompress

)

enable (1) or disable (0) recompression during H-matrix building (default: on)

set_verbosity()

void hpro_ set_verbosity

(

const unsigned int

verb

)

define verbosity of HLIBpro

set_warning_fn()

void hpro_ set_warning_fn

(

const hpro_ errorfn_t

warnfn

)

set call back function in case of a warning

solver_auto()

hpro_ solver_t hpro_ solver_auto

(

int *

info

)

create automatic solver

solver_bicgstab()

hpro_ solver_t hpro_ solver_bicgstab

(

int *

info

)

create BiCG-Stab solver

solver_cg()

hpro_ solver_t hpro_ solver_cg

(

int *

info

)

create CG solver

solver_cgs()

hpro_ solver_t hpro_ solver_cgs

(

int *

info

)

create CGS solver

solver_free()

void hpro_ solver_free	(	hpro_ solver_t	solver,
		int *	info
	)

free solver

solver_gmres()

hpro_ solver_t hpro_ solver_gmres	(	const int	restart,
		int *	info
	)

create GMRES solver with restart after restart steps

solver_initialise_start_value()

void hpro_ solver_initialise_start_value	(	hpro_ solver_t	solver,
		const int	flag,
		int *	info
	)

turn initialisation of start value during iteration on (flag != 0) or off (flag != 0)

solver_linear_iteration()

hpro_ solver_t hpro_ solver_linear_iteration

(

int *

info

)

create linear iteration

solver_minres()

hpro_ solver_t hpro_ solver_minres

(

int *

info

)

create MINRES solver

solver_richardson()

hpro_ solver_t hpro_ solver_richardson

(

int *

info

)

create Richardson solver

solver_stopcrit()

void hpro_ solver_stopcrit	(	hpro_ solver_t	solver,
		const int	maxit,
		const double	abs_red,
		const double	rel_red,
		int *	info
	)

set stopping criterion for solver

• maxit : maximal number of iterations
• abs_red : iterate until ||residual||_2 reaches abs_red
• rel_red : iterate until ||residual||_2 reaches rel_red * ||start-res.||_2
• in case of a preconditioner r = W(Ax - b), e.g. the preconditioned res.

solver_tfqmr()

hpro_ solver_t hpro_ solver_tfqmr

(

int *

info

)

create TFQMR solver

solver_use_exact_residual()

void hpro_ solver_use_exact_residual	(	hpro_ solver_t	solver,
		const int	flag,
		int *	info
	)

turn computation of exact residual during iteration on (flag != 0) or off (flag != 0)

walltime()

double hpro_ walltime

(

)

return current walltime in seconds