Interface to the PaStix solver. More...
#include <PaStiXSupport.h>
Public Types | |
typedef PastixBase< PastixLU< MatrixType > > | Base |
typedef Base::ColSpMatrix | ColSpMatrix |
typedef MatrixType::Index | Index |
typedef _MatrixType | MatrixType |
Public Types inherited from Eigen::PastixBase< PastixLU< _MatrixType > > | |
typedef internal::pastix_traits< PastixLU< _MatrixType > >::MatrixType | _MatrixType |
typedef SparseMatrix< Scalar, ColMajor > | ColSpMatrix |
typedef MatrixType::Index | Index |
typedef _MatrixType | MatrixType |
typedef MatrixType::RealScalar | RealScalar |
typedef MatrixType::Scalar | Scalar |
typedef Matrix< Scalar, Dynamic, 1 > | Vector |
Public Member Functions | |
void | analyzePattern (const MatrixType &matrix) |
void | compute (const MatrixType &matrix) |
void | factorize (const MatrixType &matrix) |
PastixLU () | |
PastixLU (const MatrixType &matrix) | |
Public Member Functions inherited from Eigen::PastixBase< PastixLU< _MatrixType > > | |
bool | _solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &x) const |
Index | cols () const |
PastixLU< _MatrixType > & | derived () |
const PastixLU< _MatrixType > & | derived () const |
Array< RealScalar, IPARM_SIZE, 1 > & | dparm () |
double & | dparm (int idxparam) |
ComputationInfo | info () const |
Reports whether previous computation was successful. More... | |
Array< Index, IPARM_SIZE, 1 > & | iparm () |
int & | iparm (int idxparam) |
PastixBase () | |
Index | rows () const |
const internal::solve_retval< PastixBase, Rhs > | solve (const MatrixBase< Rhs > &b) const |
const internal::sparse_solve_retval< PastixBase, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
~PastixBase () | |
Protected Member Functions | |
void | grabMatrix (const MatrixType &matrix, ColSpMatrix &out) |
void | init () |
Protected Member Functions inherited from Eigen::PastixBase< PastixLU< _MatrixType > > | |
void | analyzePattern (ColSpMatrix &mat) |
void | clean () |
void | compute (ColSpMatrix &mat) |
void | factorize (ColSpMatrix &mat) |
void | init () |
Protected Attributes | |
bool | m_structureIsUptodate |
ColSpMatrix | m_transposedStructure |
Protected Attributes inherited from Eigen::PastixBase< PastixLU< _MatrixType > > | |
int | m_analysisIsOk |
int | m_comm |
Matrix< double, DPARM_SIZE, 1 > | m_dparm |
int | m_factorizationIsOk |
ComputationInfo | m_info |
int | m_initisOk |
Matrix< Index, Dynamic, 1 > | m_invp |
Matrix< int, IPARM_SIZE, 1 > | m_iparm |
bool | m_isInitialized |
pastix_data_t * | m_pastixdata |
Matrix< Index, Dynamic, 1 > | m_perm |
int | m_size |
Interface to the PaStix solver.
Sparse direct LU solver based on PaStiX library.
This class is used to solve the linear systems A.X = B via the PaStix library. The matrix can be either real or complex, symmetric or not.
This class is used to solve the linear systems A.X = B with a supernodal LU factorization in the PaStiX library. The matrix A should be squared and nonsingular PaStiX requires that the matrix A has a symmetric structural pattern. This interface can symmetrize the input matrix otherwise. The vectors or matrices X and B can be either dense or sparse.
_MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
IsStrSym | Indicates if the input matrix has a symmetric pattern, default is false NOTE : Note that if the analysis and factorization phase are called separately, the input matrix will be symmetrized at each call, hence it is advised to symmetrize the matrix in a end-user program and set IsStrSym to true |
Definition at line 23 of file PaStiXSupport.h.
typedef PastixBase<PastixLU<MatrixType> > Eigen::PastixLU< _MatrixType, IsStrSym >::Base |
Definition at line 435 of file PaStiXSupport.h.
typedef Base::ColSpMatrix Eigen::PastixLU< _MatrixType, IsStrSym >::ColSpMatrix |
Definition at line 436 of file PaStiXSupport.h.
typedef MatrixType::Index Eigen::PastixLU< _MatrixType, IsStrSym >::Index |
Definition at line 437 of file PaStiXSupport.h.
typedef _MatrixType Eigen::PastixLU< _MatrixType, IsStrSym >::MatrixType |
Definition at line 434 of file PaStiXSupport.h.
|
inline |
Definition at line 440 of file PaStiXSupport.h.
|
inline |
Definition at line 445 of file PaStiXSupport.h.
|
inline |
Compute the LU symbolic factorization of matrix
using its sparsity pattern. Several ordering methods can be used at this step. See the PaStiX user's manual. The result of this operation can be used with successive matrices having the same pattern as matrix
Definition at line 467 of file PaStiXSupport.h.
|
inline |
Compute the LU supernodal factorization of matrix
. iparm and dparm can be used to tune the PaStiX parameters. see the PaStiX user's manual
Definition at line 455 of file PaStiXSupport.h.
|
inline |
Compute the LU supernodal factorization of matrix
WARNING The matrix matrix
should have the same structural pattern as the same used in the analysis phase.
Definition at line 480 of file PaStiXSupport.h.
|
inlineprotected |
Definition at line 495 of file PaStiXSupport.h.
|
inlineprotected |
Definition at line 488 of file PaStiXSupport.h.
|
protected |
Definition at line 523 of file PaStiXSupport.h.
|
protected |
Definition at line 522 of file PaStiXSupport.h.