Please, help us to better know about our user community by answering the following short survey: https://forms.gle/wpyrxWi18ox9Z5ae9 Eigen  3.3.9 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)

SimplicialCholeskycompute (const MatrixType &matrix)

void factorize (const MatrixType &a)

## ◆ 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()

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