The base class for the direct Cholesky factorization of Cholmod. More...

#include <CholmodSupport.h>

Inheritance diagram for Eigen::CholmodBase< _MatrixType, _UpLo, Derived >:

Public Types
enum	{ UpLo = _UpLo }

enum	{ ColsAtCompileTime = MatrixType::ColsAtCompileTime , MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime }

typedef _MatrixType	MatrixType

typedef MatrixType::Scalar	Scalar

typedef MatrixType::RealScalar	RealScalar

typedef MatrixType	CholMatrixType

typedef MatrixType::StorageIndex	StorageIndex

Public Member Functions
	CholmodBase (const MatrixType &matrix)

StorageIndex	cols () const

StorageIndex	rows () const

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

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

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

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

cholmod_common &	cholmod ()
	Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.

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

template<typename RhsDerived , typename DestDerived >
void	_solve_impl (const SparseMatrixBase< RhsDerived > &b, SparseMatrixBase< DestDerived > &dest) const

Derived &	setShift (const RealScalar &offset)
	Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.

Scalar	determinant () const

Scalar	logDeterminant () const

template<typename Stream >
void	dumpMemory (Stream &)

Public Member Functions inherited from Eigen::SparseSolverBase< Derived >
	SparseSolverBase ()
	Default constructor.

Derived &	derived ()

const Derived &	derived () const

template<typename Rhs >
const Solve< Derived, Rhs >	solve (const MatrixBase< Rhs > &b) const

template<typename Rhs >
const Solve< Derived, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const

template<typename Rhs , typename Dest >
void	_solve_impl (const SparseMatrixBase< Rhs > &b, SparseMatrixBase< Dest > &dest) const

Protected Types
typedef SparseSolverBase< Derived >	Base

Protected Member Functions
Derived &	derived ()

const Derived &	derived () const

Protected Attributes
cholmod_common	m_cholmod

cholmod_factor *	m_cholmodFactor

double	m_shiftOffset [2]

ComputationInfo	m_info

int	m_factorizationIsOk

int	m_analysisIsOk

bool	m_isInitialized

Protected Attributes inherited from Eigen::SparseSolverBase< Derived >
bool	m_isInitialized

Detailed Description

template<typename _MatrixType, int _UpLo, typename Derived>
class Eigen::CholmodBase< _MatrixType, _UpLo, Derived >

The base class for the direct Cholesky factorization of Cholmod.

See also: class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT

Member Function Documentation

◆ analyzePattern()

template<typename _MatrixType , int _UpLo, typename Derived >

void Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::analyzePattern ( const MatrixType & matrix )

inline

Performs a symbolic decomposition on the sparsity pattern of matrix.

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

See also: factorize()

◆ cholmod()

template<typename _MatrixType , int _UpLo, typename Derived >

cholmod_common & Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::cholmod ( )

inline

Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.

See the Cholmod user guide for details.

◆ determinant()

template<typename _MatrixType , int _UpLo, typename Derived >

Scalar Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::determinant ( ) const

inline

Returns: the determinant of the underlying matrix from the current factorization

◆ factorize()

template<typename _MatrixType , int _UpLo, typename Derived >

void Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::factorize ( const MatrixType & matrix )

inline

Performs a numeric decomposition of matrix.

The given matrix must have the same sparsity pattern as the matrix on which the symbolic decomposition has been performed.

See also: analyzePattern()

◆ info()

template<typename _MatrixType , int _UpLo, typename Derived >

ComputationInfo Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::info ( ) const

inline

Reports whether previous computation was successful.

Returns: Success if computation was successful, NumericalIssue if the matrix.appears to be negative.

◆ logDeterminant()

template<typename _MatrixType , int _UpLo, typename Derived >

Scalar Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::logDeterminant ( ) const

inline

Returns: the log determinant of the underlying matrix from the current factorization

◆ setShift()

template<typename _MatrixType , int _UpLo, typename Derived >

Derived & Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::setShift ( const RealScalar & offset )

inline

Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.

During the numerical factorization, an offset term is added to the diagonal coefficients:
d_ii = offset + d_ii

The default is offset=0.

Returns: a reference to *this.

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

External/Eigen/src/CholmodSupport/CholmodSupport.h

Public Types

Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Detailed Description

Member Function Documentation

◆ analyzePattern()

◆ cholmod()

◆ determinant()

◆ factorize()

◆ info()

◆ logDeterminant()

◆ setShift()