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