Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering > Class Template Reference

#include <SimplicialCholesky.h>

Public Types
enum	{ UpLo = _UpLo }
typedef _MatrixType	MatrixType
typedef SimplicialCholeskyBase< SimplicialCholesky >	Base
typedef MatrixType::Scalar	Scalar
typedef MatrixType::RealScalar	RealScalar
typedef MatrixType::StorageIndex	StorageIndex
typedef SparseMatrix< Scalar, ColMajor, StorageIndex >	CholMatrixType
typedef Matrix< Scalar, Dynamic, 1 >	VectorType
typedef internal::traits< SimplicialCholesky >	Traits
typedef internal::traits< SimplicialLDLT< MatrixType, UpLo > >	LDLTTraits
typedef internal::traits< SimplicialLLT< MatrixType, UpLo > >	LLTTraits

Public Member Functions
	SimplicialCholesky (const MatrixType &matrix)
SimplicialCholesky &	setMode (SimplicialCholeskyMode mode)
const VectorType	vectorD () const
const CholMatrixType	rawMatrix () const
SimplicialCholesky &	compute (const MatrixType &matrix)
void	analyzePattern (const MatrixType &a)
void	factorize (const MatrixType &a)
template<typename Rhs , typename Dest >
void	_solve_impl (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const
template<typename Rhs , typename Dest >
void	_solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const
Scalar	determinant () const

Protected Attributes
bool	m_LDLT

Detailed Description

template<typename _MatrixType, int _UpLo, typename _Ordering>
class Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >

Deprecated:

use SimplicialLDLT or class SimplicialLLT

See also

class SimplicialLDLT, class SimplicialLLT

Member Function Documentation

analyzePattern()

template<typename _MatrixType , int _UpLo, typename _Ordering >

void Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >::analyzePattern ( const MatrixType &  a )

inline

Performs a symbolic decomposition on the sparcity of matrix.

This function is particularly useful when solving for several problems having the same structure.

See also

factorize()

compute()

template<typename _MatrixType , int _UpLo, typename _Ordering >

SimplicialCholesky& Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >::compute ( const MatrixType &  matrix )

inline

Computes the sparse Cholesky decomposition of matrix

factorize()

template<typename _MatrixType , int _UpLo, typename _Ordering >

void Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >::factorize ( const MatrixType &  a )

inline

Performs a numeric decomposition of matrix

The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.

See also

analyzePattern()

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

• SimplicialCholesky.h