Eigen  3.3.4
Eigen::PastixLLT< _MatrixType, _UpLo > Class Template Reference

Detailed Description

template<typename _MatrixType, int _UpLo>
class Eigen::PastixLLT< _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 LL^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
MatrixTypethe type of the sparse matrix A, it must be a SparseMatrix<>
UpLoThe 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 SimplicialLLT

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::PastixLLT< _MatrixType, _UpLo >::analyzePattern ( const MatrixType &  matrix)
inline

Compute the LL^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::PastixLLT< _MatrixType, _UpLo >::compute ( const MatrixType &  matrix)
inline

Compute the L factor of the LL^T supernodal factorization of matrix

See also
analyzePattern() factorize()

◆ factorize()

template<typename _MatrixType , int _UpLo>
void Eigen::PastixLLT< _MatrixType, _UpLo >::factorize ( const MatrixType &  matrix)
inline

Compute the LL^T supernodal numerical factorization of matrix

See also
analyzePattern()

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