A supernodal Cholesky (LLT) factorization and solver based on Cholmod. More...

#include <CholmodSupport.h>

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

Public Types
typedef _MatrixType	MatrixType
Public Member Functions
	CholmodSupernodalLLT ()
	CholmodSupernodalLLT (const MatrixType &matrix)
	~CholmodSupernodalLLT ()
Protected Member Functions
void	init ()
Private Types
typedef CholmodBase < _MatrixType, _UpLo, CholmodSupernodalLLT >	Base

Detailed Description

template<typename _MatrixType, int _UpLo = Lower>
class Eigen::CholmodSupernodalLLT< _MatrixType, _UpLo >

A supernodal Cholesky (LLT) factorization and solver based on Cholmod.

This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization using the Cholmod library. This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM. The sparse matrix A must be selfajoint and positive definite. 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 triangular part that will be used for the computations. It can be Lower or Upper. Default is Lower.

This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.

See also:: TutorialSparseDirectSolvers

Definition at line 473 of file CholmodSupport.h.