Eigen  3.3.3
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
+ Inheritance diagram for Eigen::SimplicialCholesky< _MatrixType, _UpLo, _Ordering >:

List of all members.

Public Member Functions

void analyzePattern (const MatrixType &a)
SimplicialCholeskycompute (const MatrixType &matrix)
void factorize (const MatrixType &a)

Member Function Documentation

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()
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

Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >.

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()

Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >.


The documentation for this class was generated from the following file:
 All Classes Functions Variables Typedefs Enumerations Enumerator Friends