Eigen::PastixLDLT< MatrixType_, UpLo_ > Class Template Reference

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

This class follows the sparse solver concept .

See also

Sparse solver concept, class SimplicialLDLT

Inherits Eigen::PastixBase< Derived >.

Public Member Functions
void	analyzePattern (const MatrixType &matrix)
void	compute (const MatrixType &matrix)
void	factorize (const MatrixType &matrix)

Member Function Documentation

analyzePattern()

template<typename MatrixType_ , int UpLo_>

void Eigen::PastixLDLT< MatrixType_, UpLo_ >::analyzePattern ( const MatrixType &  matrix )

inline

Compute the LDL^T symbolic factorization of matrix using its sparsity pattern The result of this operation can be used with successive matrices having the same pattern as matrix

See also

factorize()

compute()

template<typename MatrixType_ , int UpLo_>

void Eigen::PastixLDLT< MatrixType_, UpLo_ >::compute ( const MatrixType &  matrix )

inline

Compute the L and D factors of the LDL^T factorization of matrix

See also

analyzePattern() factorize()

factorize()

template<typename MatrixType_ , int UpLo_>

void Eigen::PastixLDLT< MatrixType_, UpLo_ >::factorize ( const MatrixType &  matrix )

inline

Compute the LDL^T supernodal numerical factorization of matrix

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The documentation for this class was generated from the following file:

• PaStiXSupport.h