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

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

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

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