A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library. More...

#include <PaStiXSupport.h>

Inheritance diagram for Eigen::PastixLDLT< _MatrixType, _UpLo >:

Public Types
enum	{ UpLo = _UpLo }

typedef _MatrixType	MatrixType

typedef PastixBase< PastixLDLT< MatrixType, _UpLo > >	Base

typedef Base::ColSpMatrix	ColSpMatrix

Public Types inherited from Eigen::PastixBase< PastixLDLT< _MatrixType, _UpLo > >
enum

typedef internal::pastix_traits< PastixLDLT< _MatrixType, _UpLo > >::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
	PastixLDLT ()

	PastixLDLT (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< PastixLDLT< _MatrixType, _UpLo > >
	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< PastixLDLT< _MatrixType, _UpLo > >
void	init ()

void	analyzePattern (ColSpMatrix &mat)

void	factorize (ColSpMatrix &mat)

void	clean ()

void	compute (ColSpMatrix &mat)

PastixLDLT< _MatrixType, _UpLo > &	derived ()

const PastixLDLT< _MatrixType, _UpLo > &	derived () const

Protected Attributes
Array< int, IPARM_SIZE, 1 >	m_iparm

Protected Attributes inherited from Eigen::PastixBase< PastixLDLT< _MatrixType, _UpLo > >
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< PastixLDLT< _MatrixType, _UpLo > >
typedef SparseSolverBase< PastixLDLT< _MatrixType, _UpLo > >	Base

Detailed Description

template<typename _MatrixType, int _UpLo>
class Eigen::PastixLDLT< _MatrixType, _UpLo >

A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library.

This class is used to solve the linear systems A.X = B via a LDL^T supernodal Cholesky factorization available in the PaStiX library. The matrix A should be symmetric and positive definite WARNING Selfadjoint complex matrices are not supported in the current version of PaStiX 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<>
UpLo	The part of the matrix to use : Lower or Upper. The default is Lower as required by PaStiX

\implsparsesolverconcept

See also: TutorialSparseSolverConcept, class SimplicialLDLT