#include <SimplicialCholesky.h>

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

Public Types
enum	{ UpLo = _UpLo }

typedef _MatrixType	MatrixType

typedef SimplicialCholeskyBase< SimplicialCholesky >	Base

typedef MatrixType::Scalar	Scalar

typedef MatrixType::RealScalar	RealScalar

typedef MatrixType::Index	Index

typedef SparseMatrix< Scalar, ColMajor, Index >	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 Types inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >
enum

typedef internal::traits< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >::MatrixType	MatrixType

typedef internal::traits< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >::OrderingType	OrderingType

typedef MatrixType::Scalar	Scalar

typedef MatrixType::RealScalar	RealScalar

typedef MatrixType::Index	Index

typedef SparseMatrix< Scalar, ColMajor, Index >	CholMatrixType

typedef Matrix< Scalar, Dynamic, 1 >	VectorType

Public Member Functions
	SimplicialCholesky (const MatrixType &matrix)

SimplicialCholesky &	setMode (SimplicialCholeskyMode mode)

const VectorType	vectorD () const

const CholMatrixType	rawMatrix () const

SimplicialCholesky &	compute (const MatrixType &matrix)
	Computes the sparse Cholesky decomposition of matrix.

void	analyzePattern (const MatrixType &a)
	Performs a symbolic decomposition on the sparcity of matrix. More...

void	factorize (const MatrixType &a)
	Performs a numeric decomposition of matrix. More...

template<typename Rhs , typename Dest >
void	_solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const

Scalar	determinant () const

Public Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >
	SimplicialCholeskyBase ()
	Default constructor.

	SimplicialCholeskyBase (const MatrixType &matrix)

SimplicialCholesky< _MatrixType, _UpLo, _Ordering > &	derived ()

const SimplicialCholesky< _MatrixType, _UpLo, _Ordering > &	derived () const

Index	cols () const

Index	rows () const

ComputationInfo	info () const
	Reports whether previous computation was successful. More...

const internal::solve_retval< SimplicialCholeskyBase, Rhs >	solve (const MatrixBase< Rhs > &b) const

const internal::sparse_solve_retval< SimplicialCholeskyBase, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const

const PermutationMatrix< Dynamic, Dynamic, Index > &	permutationP () const

const PermutationMatrix< Dynamic, Dynamic, Index > &	permutationPinv () const

SimplicialCholesky< _MatrixType, _UpLo, _Ordering > &	setShift (const RealScalar &offset, const RealScalar &scale=1)
	Sets the shift parameters that will be used to adjust the diagonal coefficients during the numerical factorization. More...

void	dumpMemory (Stream &s)

void	_solve (const MatrixBase< Rhs > &b, MatrixBase< Dest > &dest) const

Protected Attributes
bool	m_LDLT

Protected Attributes inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >
ComputationInfo	m_info

bool	m_isInitialized

bool	m_factorizationIsOk

bool	m_analysisIsOk

CholMatrixType	m_matrix

VectorType	m_diag

VectorXi	m_parent

VectorXi	m_nonZerosPerCol

PermutationMatrix< Dynamic, Dynamic, Index >	m_P

PermutationMatrix< Dynamic, Dynamic, Index >	m_Pinv

RealScalar	m_shiftOffset

RealScalar	m_shiftScale

Additional Inherited Members
Protected Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > >
void	compute (const MatrixType &matrix)
	Computes the sparse Cholesky decomposition of matrix.

void	factorize (const MatrixType &a)

void	factorize_preordered (const CholMatrixType &a)

void	analyzePattern (const MatrixType &a, bool doLDLT)

void	analyzePattern_preordered (const CholMatrixType &a, bool doLDLT)

void	ordering (const MatrixType &a, CholMatrixType &ap)

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()

§ 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:

vendor/eigen/Eigen/src/SparseCholesky/SimplicialCholesky.h

Public Types

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

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

Member Function Documentation

§ analyzePattern()

§ factorize()

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