Interface to the PaStix solver. More...

#include <PaStiXSupport.h>

Inheritance diagram for Eigen::PastixLU< _MatrixType, IsStrSym >:

Public Types
typedef _MatrixType	MatrixType

typedef PastixBase< PastixLU< MatrixType > >	Base

typedef Base::ColSpMatrix	ColSpMatrix

typedef MatrixType::StorageIndex	StorageIndex

Public Types inherited from Eigen::PastixBase< PastixLU< _MatrixType > >
enum

typedef internal::pastix_traits< PastixLU< _MatrixType > >::MatrixType	_MatrixType

typedef _MatrixType	MatrixType

typedef MatrixType::Scalar	Scalar

typedef MatrixType::RealScalar	RealScalar

typedef MatrixType::StorageIndex	StorageIndex

typedef Matrix< Scalar, Dynamic, 1 >	Vector

typedef SparseMatrix< Scalar, ColMajor >	ColSpMatrix

Public Member Functions
	PastixLU ()

	PastixLU (const MatrixType &matrix)

void	compute (const MatrixType &matrix)

void	analyzePattern (const MatrixType &matrix)

void	factorize (const MatrixType &matrix)

Public Member Functions inherited from Eigen::PastixBase< PastixLU< _MatrixType > >
	PastixBase ()

	~PastixBase ()

bool	_solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &x) const

void	_solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const

Array< StorageIndex, IPARM_SIZE, 1 > &	iparm ()

int &	iparm (int idxparam)

Array< double, DPARM_SIZE, 1 > &	dparm ()

double &	dparm (int idxparam)

Index	cols () const

Index	rows () const

ComputationInfo	info () const
	Reports whether previous computation was successful. More...

Public Member Functions inherited from Eigen::SparseSolverBase< Derived >
	SparseSolverBase ()

	~SparseSolverBase ()

Derived &	derived ()

const Derived &	derived () const

template<typename Rhs >
const Solve< Derived, Rhs >	solve (const MatrixBase< Rhs > &b) const

template<typename Rhs >
const Solve< Derived, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const

template<typename Rhs , typename Dest >
void	_solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const

Protected Member Functions
void	init ()

void	grabMatrix (const MatrixType &matrix, ColSpMatrix &out)

Protected Member Functions inherited from Eigen::PastixBase< PastixLU< _MatrixType > >
void	init ()

void	analyzePattern (ColSpMatrix &mat)

void	factorize (ColSpMatrix &mat)

void	clean ()

void	compute (ColSpMatrix &mat)

PastixLU< _MatrixType > &	derived ()

const PastixLU< _MatrixType > &	derived () const

Protected Attributes
ColSpMatrix	m_transposedStructure

bool	m_structureIsUptodate

Array< int, IPARM_SIZE, 1 >	m_iparm

Array< double, DPARM_SIZE, 1 >	m_dparm

Protected Attributes inherited from Eigen::PastixBase< PastixLU< _MatrixType > >
int	m_initisOk

int	m_analysisIsOk

int	m_factorizationIsOk

ComputationInfo	m_info

pastix_data_t *	m_pastixdata

int	m_comm

Array< int, IPARM_SIZE, 1 >	m_iparm

Array< double, DPARM_SIZE, 1 >	m_dparm

Matrix< StorageIndex, Dynamic, 1 >	m_perm

Matrix< StorageIndex, Dynamic, 1 >	m_invp

int	m_size

bool	m_isInitialized

Protected Attributes inherited from Eigen::SparseSolverBase< Derived >
bool	m_isInitialized

Additional Inherited Members
Protected Types inherited from Eigen::PastixBase< PastixLU< _MatrixType > >
typedef SparseSolverBase< PastixLU< _MatrixType > >	Base

Detailed Description

template<typename _MatrixType, bool IsStrSym>
class Eigen::PastixLU< _MatrixType, IsStrSym >

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.

See also: TutorialSparseDirectSolvers

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.

Template Parameters

_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

\implsparsesolverconcept

See also: TutorialSparseSolverConcept, class SparseLU