A general Cholesky factorization and solver based on Cholmod. More...

#include <CholmodSupport.h>

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

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

Detailed Description

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

A general Cholesky factorization and solver based on Cholmod.

This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization using the Cholmod library. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices X and B can be either dense or sparse.

This variant permits to change the underlying Cholesky method at runtime. On the other hand, it does not provide access to the result of the factorization. The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.

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 523 of file CholmodSupport.h.