#include <KLUSupport.h>

Inheritance diagram for Eigen::KLU< _MatrixType >:

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

typedef _MatrixType	MatrixType

typedef MatrixType::Scalar	Scalar

typedef MatrixType::RealScalar	RealScalar

typedef MatrixType::StorageIndex	StorageIndex

typedef Matrix< Scalar, Dynamic, 1 >	Vector

typedef Matrix< int, 1, MatrixType::ColsAtCompileTime >	IntRowVectorType

typedef Matrix< int, MatrixType::RowsAtCompileTime, 1 >	IntColVectorType

typedef SparseMatrix< Scalar >	LUMatrixType

typedef SparseMatrix< Scalar, ColMajor, int >	KLUMatrixType

typedef Ref< const KLUMatrixType, StandardCompressedFormat >	KLUMatrixRef

Public Member Functions
	KLU ()

template<typename InputMatrixType >
	KLU (const InputMatrixType &matrix)

	~KLU ()

EIGEN_CONSTEXPR Index	rows () const EIGEN_NOEXCEPT

EIGEN_CONSTEXPR Index	cols () const EIGEN_NOEXCEPT

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

template<typename InputMatrixType >
void	compute (const InputMatrixType &matrix)

template<typename InputMatrixType >
void	analyzePattern (const InputMatrixType &matrix)

const klu_common &	kluCommon () const

klu_common &	kluCommon ()

template<typename InputMatrixType >
void	factorize (const InputMatrixType &matrix)

template<typename BDerived , typename XDerived >
bool	_solve_impl (const MatrixBase< BDerived > &b, MatrixBase< XDerived > &x) const

Public Member Functions inherited from Eigen::SparseSolverBase< KLU< _MatrixType > >
	SparseSolverBase ()

	~SparseSolverBase ()

KLU< _MatrixType > &	derived ()

const KLU< _MatrixType > &	derived () const

const Solve< KLU< _MatrixType >, Rhs >	solve (const MatrixBase< Rhs > &b) const

const Solve< KLU< _MatrixType >, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const

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

Protected Types
typedef SparseSolverBase< KLU< _MatrixType > >	Base

Protected Member Functions
void	init ()

void	analyzePattern_impl ()

void	factorize_impl ()

template<typename MatrixDerived >
void	grab (const EigenBase< MatrixDerived > &A)

void	grab (const KLUMatrixRef &A)

Protected Attributes
KLUMatrixType	m_dummy

KLUMatrixRef	mp_matrix

klu_numeric *	m_numeric

klu_symbolic *	m_symbolic

klu_common	m_common

ComputationInfo	m_info

int	m_factorizationIsOk

int	m_analysisIsOk

bool	m_extractedDataAreDirty

Protected Attributes inherited from Eigen::SparseSolverBase< KLU< _MatrixType > >
bool	m_isInitialized

Private Member Functions
	KLU (const KLU &)

Member Typedef Documentation

◆ Base

template<typename _MatrixType >

typedef SparseSolverBase<KLU<_MatrixType> > Eigen::KLU< _MatrixType >::Base

protected

◆ IntColVectorType

template<typename _MatrixType >

typedef Matrix<int, MatrixType::RowsAtCompileTime, 1> Eigen::KLU< _MatrixType >::IntColVectorType

◆ IntRowVectorType

template<typename _MatrixType >

typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> Eigen::KLU< _MatrixType >::IntRowVectorType

◆ KLUMatrixRef

template<typename _MatrixType >

typedef Ref<const KLUMatrixType, StandardCompressedFormat> Eigen::KLU< _MatrixType >::KLUMatrixRef

◆ KLUMatrixType

template<typename _MatrixType >

typedef SparseMatrix<Scalar,ColMajor,int> Eigen::KLU< _MatrixType >::KLUMatrixType

◆ LUMatrixType

template<typename _MatrixType >

typedef SparseMatrix<Scalar> Eigen::KLU< _MatrixType >::LUMatrixType

◆ MatrixType

template<typename _MatrixType >

typedef _MatrixType Eigen::KLU< _MatrixType >::MatrixType

◆ RealScalar

template<typename _MatrixType >

typedef MatrixType::RealScalar Eigen::KLU< _MatrixType >::RealScalar

◆ Scalar

template<typename _MatrixType >

typedef MatrixType::Scalar Eigen::KLU< _MatrixType >::Scalar

◆ StorageIndex

template<typename _MatrixType >

typedef MatrixType::StorageIndex Eigen::KLU< _MatrixType >::StorageIndex

◆ Vector

template<typename _MatrixType >

typedef Matrix<Scalar,Dynamic,1> Eigen::KLU< _MatrixType >::Vector

Member Enumeration Documentation

◆ anonymous enum

template<typename _MatrixType >

anonymous enum

Enumerator
ColsAtCompileTime
MaxColsAtCompileTime

Constructor & Destructor Documentation

◆ KLU() [1/3]

template<typename _MatrixType >

Eigen::KLU< _MatrixType >::KLU ( )

inline

◆ KLU() [2/3]

template<typename _MatrixType >

template<typename InputMatrixType >

Eigen::KLU< _MatrixType >::KLU ( const InputMatrixType & matrix )

inlineexplicit

◆ ~KLU()

template<typename _MatrixType >

Eigen::KLU< _MatrixType >::~KLU ( )

inline

◆ KLU() [3/3]

template<typename _MatrixType >

Eigen::KLU< _MatrixType >::KLU ( const KLU< _MatrixType > & )

inlineprivate

Member Function Documentation

◆ _solve_impl()

template<typename MatrixType >

template<typename BDerived , typename XDerived >

bool Eigen::KLU< MatrixType >::_solve_impl	(	const MatrixBase< BDerived > &	b,
		MatrixBase< XDerived > &	x
	)		const

◆ analyzePattern()

template<typename _MatrixType >

template<typename InputMatrixType >

void Eigen::KLU< _MatrixType >::analyzePattern ( const InputMatrixType & matrix )

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()

◆ analyzePattern_impl()

template<typename _MatrixType >

void Eigen::KLU< _MatrixType >::analyzePattern_impl ( )

inlineprotected

◆ cols()

template<typename _MatrixType >

EIGEN_CONSTEXPR Index Eigen::KLU< _MatrixType >::cols ( void ) const

inline

◆ compute()

template<typename _MatrixType >

template<typename InputMatrixType >

void Eigen::KLU< _MatrixType >::compute ( const InputMatrixType & matrix )

inline

Computes the sparse Cholesky decomposition of matrix Note that the matrix should be column-major, and in compressed format for best performance.

See also: SparseMatrix::makeCompressed().

◆ factorize()

template<typename _MatrixType >

template<typename InputMatrixType >

void Eigen::KLU< _MatrixType >::factorize ( const InputMatrixType & matrix )

inline

Performs a numeric decomposition of matrix

The given matrix must has the same sparcity than the matrix on which the pattern anylysis has been performed.

See also: analyzePattern(), compute()

◆ factorize_impl()

template<typename _MatrixType >

void Eigen::KLU< _MatrixType >::factorize_impl ( )

inlineprotected

◆ grab() [1/2]

template<typename _MatrixType >

template<typename MatrixDerived >

void Eigen::KLU< _MatrixType >::grab ( const EigenBase< MatrixDerived > & A )

inlineprotected

◆ grab() [2/2]

template<typename _MatrixType >

void Eigen::KLU< _MatrixType >::grab ( const KLUMatrixRef & A )

inlineprotected

◆ info()

template<typename _MatrixType >

ComputationInfo Eigen::KLU< _MatrixType >::info ( ) const

inline

Reports whether previous computation was successful.

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

◆ init()

template<typename _MatrixType >

void Eigen::KLU< _MatrixType >::init ( )

inlineprotected

◆ kluCommon() [1/2]

template<typename _MatrixType >

klu_common& Eigen::KLU< _MatrixType >::kluCommon ( )

inline

Provides access to the control settings array used by UmfPack.

If this array contains NaN's, the default values are used.

See KLU documentation for details.

◆ kluCommon() [2/2]

template<typename _MatrixType >

const klu_common& Eigen::KLU< _MatrixType >::kluCommon ( ) const

inline

Provides access to the control settings array used by KLU.

See KLU documentation for details.

◆ rows()

template<typename _MatrixType >

EIGEN_CONSTEXPR Index Eigen::KLU< _MatrixType >::rows ( void ) const

inline

Member Data Documentation

◆ m_analysisIsOk

template<typename _MatrixType >

int Eigen::KLU< _MatrixType >::m_analysisIsOk

protected

◆ m_common

template<typename _MatrixType >

klu_common Eigen::KLU< _MatrixType >::m_common

protected

◆ m_dummy

template<typename _MatrixType >

KLUMatrixType Eigen::KLU< _MatrixType >::m_dummy

protected

◆ m_extractedDataAreDirty

template<typename _MatrixType >

bool Eigen::KLU< _MatrixType >::m_extractedDataAreDirty

mutableprotected

◆ m_factorizationIsOk

template<typename _MatrixType >

int Eigen::KLU< _MatrixType >::m_factorizationIsOk

protected

◆ m_info

template<typename _MatrixType >

ComputationInfo Eigen::KLU< _MatrixType >::m_info

mutableprotected

◆ m_numeric

template<typename _MatrixType >

klu_numeric* Eigen::KLU< _MatrixType >::m_numeric

protected

◆ m_symbolic

template<typename _MatrixType >

klu_symbolic* Eigen::KLU< _MatrixType >::m_symbolic

protected

◆ mp_matrix

template<typename _MatrixType >

KLUMatrixRef Eigen::KLU< _MatrixType >::mp_matrix

protected

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

/home/runner/work/NDDEM/NDDEM/src/CoarseGraining/Eigen/src/KLUSupport/KLUSupport.h

Public Types

Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Private Member Functions

Member Typedef Documentation

◆ Base

◆ IntColVectorType

◆ IntRowVectorType

◆ KLUMatrixRef

◆ KLUMatrixType

◆ LUMatrixType

◆ MatrixType

◆ RealScalar

◆ Scalar

◆ StorageIndex

◆ Vector

Member Enumeration Documentation

◆ anonymous enum

Constructor & Destructor Documentation

◆ KLU() [1/3]

◆ KLU() [2/3]

◆ ~KLU()

◆ KLU() [3/3]

Member Function Documentation

◆ _solve_impl()

◆ analyzePattern()

◆ analyzePattern_impl()

◆ cols()

◆ compute()

◆ factorize()

◆ factorize_impl()

◆ grab() [1/2]

◆ grab() [2/2]

◆ info()

◆ init()

◆ kluCommon() [1/2]

◆ kluCommon() [2/2]

◆ rows()

Member Data Documentation

◆ m_analysisIsOk

◆ m_common

◆ m_dummy

◆ m_extractedDataAreDirty

◆ m_factorizationIsOk

◆ m_info

◆ m_numeric

◆ m_symbolic

◆ mp_matrix