HLIBpro  1.2
Public Member Functions | List of all members
TUniformMatrix Class Reference

Represents low rank matrices as uniform matrix: $M = V S W^H$, where $V$ and $W$ are cluster bases and $S$ holds the corresponding coefficients.

#include <TUniformMatrix.hh>

Inheritance diagram for TUniformMatrix:
TMatrix TLockable TTypeInfo

Public Member Functions

 TUniformMatrix ()
 default constructor
 TUniformMatrix (const TBlockIndexSet &block_is, const TClusterBasis< real > *row_cb, const TClusterBasis< real > *col_cb, const BLAS::Matrix< real > &S)
 TUniformMatrix (const TBlockIndexSet &block_is, const TClusterBasis< complex > *row_cb, const TClusterBasis< complex > *col_cb, const BLAS::Matrix< complex > &S)
 TUniformMatrix (const TUniformMatrix &A)
 copy constructor
 ~TUniformMatrix ()
 dtor
virtual size_t rows () const
 return number of rows
virtual size_t cols () const
 return number of columns
void set_size (const size_t n, const size_t m)
 set size of matrix
size_t row_rank () const
 return row rank of matrix
size_t col_rank () const
 return column rank of matrix
const TClusterBasis< real > * rrow_cb () const
 return row cluster basis
const TClusterBasis< real > * rcol_cb () const
 return column cluster basis
const TClusterBasis< complex > * crow_cb () const
 return row cluster basis
const TClusterBasis< complex > * ccol_cb () const
 return column cluster basis
void set_rank (const size_t row_rank, const size_t col_rank)
void assign_cb (const TClusterBasis< real > *row_cb, const TClusterBasis< real > *col_cb)
real entry (const idx_t i, const idx_t j) const
 return real valued coefficent (i, j) of matrix
const complex centry (const idx_t i, const idx_t j) const
 return complex valued coefficent (i, j) of matrix
const BLAS::Matrix< real > & rcoeff () const
 return basis coefficients
const BLAS::Matrix< complex > & ccoeff () const
 return basis coefficients
virtual void to_real ()
 switch to real valued storage if possible, e.g. all imaginary components zero
virtual void to_complex ()
 switch to complex valued storage
virtual void transpose ()
 transpose matrix
virtual void conjugate ()
 conjugate matrix coefficients
virtual void truncate (const TTruncAcc &acc)
 truncate matrix w.r.t. accuracy acc
virtual void scale (const real f)
 scale matrix by constant factor
virtual void mul_vec (const real alpha, const TVector *x, const real beta, TVector *y, const matop_t op=MATOP_NORM) const
 compute y ≔ α·M·x + β·y, where M is either this, this^T or this^H depending on op
virtual void add (const real alpha, const TMatrix *A)
 compute this = this + α·A without truncation
virtual TMatrixmul_right (const real alpha, const TMatrix *B, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(this)·op_B(B)
virtual TMatrixmul_left (const real alpha, const TMatrix *A, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(A)·op_B(this)
virtual void cscale (const complex f)
 scale matrix by constant factor
virtual void cmul_vec (const complex alpha, const TVector *x, const complex beta, TVector *y, const matop_t op_A=MATOP_NORM) const
 compute y ≔ α·M·x + β·y, where M is either this, this^T or this^H depending on op
virtual void cadd (const complex a, const TMatrix *matrix)
 compute this = this + α·A without truncation
virtual TMatrixcmul_right (const complex alpha, const TMatrix *B, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(this)·op_B(B)
virtual TMatrixcmul_left (const complex alpha, const TMatrix *A, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(A)·op_B(this)
virtual TMatrixcreate () const
 return object of same type
virtual TMatrixcopy () const
 return copy of matrix
virtual TMatrixcopy (const TTruncAcc &acc, const bool do_coarsen=false) const
 return copy matrix wrt. given accuracy; if do_coarsen is set, perform coarsening
virtual void copy_to (TMatrix *A) const
 copy matrix into matrix A
virtual void copy_to (TMatrix *A, const TTruncAcc &acc, const bool do_coarsen=false) const
 copy matrix into matrix A with accuracy acc and optional coarsening
virtual size_t byte_size () const
 return size in bytes used by this object
virtual typeid_t type () const
 return type id of class
virtual bool is_type (const typeid_t t) const
 return true if object is of type t
virtual void read (TByteStream &s)
 read matrix from byte stream
virtual void build (TByteStream &s)
 construct matrix from byte stream
virtual void write (TByteStream &s) const
 write matrix into byte stream
virtual size_t bs_size () const
 return size of object in a bytestream
- Public Member Functions inherited from TMatrix
 TMatrix (const bool acomplex=false)
 construct zero sized matrix
 TMatrix (const TBlockCluster *c)
 construct matrix of size defined by block cluster c
 TMatrix (const TBlockIndexSet &bis)
 construct matrix of size defined by block cluster c
 TMatrix (const TMatrix &A)
 copy constructor
virtual ~TMatrix ()
 dtor
TIndexSet row_is () const
 return row index set
TIndexSet col_is () const
 return column index set
TBlockIndexSet block_is () const
 return block index set
virtual idx_t row_ofs () const
 return first index (number) in row
virtual idx_t col_ofs () const
 return first index (number) in column
virtual void set_ofs (const idx_t r, const idx_t c)
 set index set offsets
virtual void set_block_is (const TBlockIndexSet &is)
 set block index set of matrix
bool is_nonsym () const
 return true if matrix is unsymmetric
bool is_symmetric () const
 return true if matrix is symmetric
bool is_hermitian () const
 return true if matrix is hermitian
matform_t form () const
 return matrix format
void set_nonsym ()
 set matrix to be unsymmetric
void set_symmetric ()
 set matrix to be symmetric
void set_hermitian ()
 set matrix to be hermitian
virtual void set_form (const matform_t f)
 set matrix format
const TProcSetprocs () const
 return matrix processor set
uint nprocs () const
 return number of processors in local set
void set_procs (const TProcSet &ps)
 set processor set of matrix
virtual void copy_struct (const TMatrix *M)
bool is_real () const
 return true if matrix is real valued
bool is_complex () const
 return true if matrix is complex valued
void set_complex (const bool b, const bool force=false)
const TBlockClustercluster () const
 return corresponding block cluster of matrix
virtual void set_cluster (const TBlockCluster *c)
 set block cluster of matrix
virtual size_t global_byte_size () const
virtual TVectorrow_vector () const
 return appropriate row vector object for matrix
virtual TVectorcol_vector () const
 return appropriate column vector object for matrix
virtual void sum (const TProcSet &p, const uint pid, const uint nparts, TByteStream *bs, const TTruncAcc &acc)
virtual void check_data () const
 test data for invalid values, e.g. INF and NAN
virtual void print (const uint ofs=0) const
 print basic info about matrix to stdout
- Public Member Functions inherited from TLockable
TMutexmutex ()
 give access to internal mutex
void lock ()
 lock local mutex of matrix
void unlock ()
 unlock local mutex of matrix
- Public Member Functions inherited from TTypeInfo
virtual String typestr () const
 return string representation of type

Constructor & Destructor Documentation

TUniformMatrix ( const TBlockIndexSet block_is,
const TClusterBasis< real > *  row_cb,
const TClusterBasis< real > *  col_cb,
const BLAS::Matrix< real > &  S 
)

construct uniform matrix over block_is with clusterbases row_cb and col_cb and coefficients stored in S

TUniformMatrix ( const TBlockIndexSet block_is,
const TClusterBasis< complex > *  row_cb,
const TClusterBasis< complex > *  col_cb,
const BLAS::Matrix< complex > &  S 
)

construct uniform matrix over block_is with clusterbases row_cb and col_cb and coefficients stored in S

Member Function Documentation

void assign_cb ( const TClusterBasis< real > *  row_cb,
const TClusterBasis< real > *  col_cb 
)

assign cluster bases

  • rank and value type of bases must be identical to corresponding dimension and value type of coefficient matrix
void set_rank ( const size_t  row_rank,
const size_t  col_rank 
)

set ranks of matrix

  • has to be identical with current or future cluster bases rank!