Base class of any sparse matrices or sparse expressions. More...

#include <ForwardDeclarations.h>

Classes
struct	ConstSelfAdjointViewReturnType

struct	CwiseProductDenseReturnType

struct	SelfAdjointViewReturnType

Public Types
enum	{ RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime, ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime, SizeAtCompileTime, MaxRowsAtCompileTime = RowsAtCompileTime, MaxColsAtCompileTime = ColsAtCompileTime, MaxSizeAtCompileTime, IsVectorAtCompileTime = RowsAtCompileTime == 1 \|\| ColsAtCompileTime == 1, Flags = internal::traits<Derived>::Flags, IsRowMajor = Flags&RowMajorBit ? 1 : 0, InnerSizeAtCompileTime, _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 }

typedef internal::conditional< NumTraits< Scalar >::IsComplex, CwiseUnaryOp< internal::scalar_conjugate_op< Scalar >, Eigen::Transpose< const Derived > >, Transpose< const Derived > >::type	AdjointReturnType

typedef EigenBase< Derived >	Base

typedef internal::conditional< _HasDirectAccess, const Scalar &, Scalar >::type	CoeffReturnType

typedef CwiseNullaryOp< internal::scalar_constant_op< Scalar >, Matrix< Scalar, Dynamic, Dynamic > >	ConstantReturnType

typedef Block< const Derived, IsRowMajor?1:Dynamic, IsRowMajor?Dynamic:1, true >	ConstInnerVectorReturnType

typedef Block< const Derived, Dynamic, Dynamic, true >	ConstInnerVectorsReturnType

typedef internal::add_const< Transpose< const Derived > >::type	ConstTransposeReturnType

typedef Matrix< Scalar, RowsAtCompileTime, ColsAtCompileTime >	DenseMatrixType

typedef Matrix< StorageIndex, Dynamic, 1 >	IndexVector

typedef Block< Derived, IsRowMajor?1:Dynamic, IsRowMajor?Dynamic:1, true >	InnerVectorReturnType

typedef Block< Derived, Dynamic, Dynamic, true >	InnerVectorsReturnType

typedef internal::add_const_on_value_type_if_arithmetic< typename internal::packet_traits< Scalar >::type >::type	PacketReturnType

typedef internal::packet_traits< Scalar >::type	PacketScalar

typedef SparseMatrix< Scalar, Flags &RowMajorBit ? RowMajor :ColMajor, StorageIndex >	PlainObject

typedef NumTraits< Scalar >::Real	RealScalar

typedef internal::traits< Derived >::Scalar	Scalar

typedef Matrix< Scalar, Dynamic, 1 >	ScalarVector

typedef Matrix< Scalar, EIGEN_SIZE_MAX(RowsAtCompileTime, ColsAtCompileTime), EIGEN_SIZE_MAX(RowsAtCompileTime, ColsAtCompileTime)>	SquareMatrixType

typedef SparseMatrixBase	StorageBaseType

typedef internal::traits< Derived >::StorageIndex	StorageIndex

typedef internal::traits< Derived >::StorageKind	StorageKind

typedef Transpose< Derived >	TransposeReturnType

typedef Scalar	value_type

Public Member Functions
const AdjointReturnType	adjoint () const

RealScalar	blueNorm () const

Index	cols () const

Derived &	const_cast_derived () const

template<typename OtherDerived >
const EIGEN_STRONG_INLINE CwiseProductDenseReturnType< OtherDerived >::Type	cwiseProduct (const MatrixBase< OtherDerived > &other) const

template<typename OtherDerived >
const EIGEN_STRONG_INLINE SparseMatrixBase< Derived >::template CwiseProductDenseReturnType< OtherDerived >::Type	cwiseProduct (const MatrixBase< OtherDerived > &other) const

Derived &	derived ()

const Derived &	derived () const

template<typename OtherDerived >
internal::traits< Derived >::Scalar	dot (const MatrixBase< OtherDerived > &other) const

template<typename OtherDerived >
Scalar	dot (const MatrixBase< OtherDerived > &other) const

template<typename OtherDerived >
internal::traits< Derived >::Scalar	dot (const SparseMatrixBase< OtherDerived > &other) const

template<typename OtherDerived >
Scalar	dot (const SparseMatrixBase< OtherDerived > &other) const

const internal::eval< Derived >::type	eval () const

Index	innerSize () const

InnerVectorReturnType	innerVector (Index outer)

const ConstInnerVectorReturnType	innerVector (Index outer) const

InnerVectorsReturnType	innerVectors (Index outerStart, Index outerSize)

const ConstInnerVectorsReturnType	innerVectors (Index outerStart, Index outerSize) const

template<typename OtherDerived >
bool	isApprox (const MatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

template<typename OtherDerived >
bool	isApprox (const SparseMatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const

bool	isRValue () const

bool	isVector () const

Derived &	markAsRValue ()

RealScalar	norm () const

template<typename OtherDerived >
const Product< Derived, OtherDerived >	operator* (const DiagonalBase< OtherDerived > &other) const

template<typename OtherDerived >
const Product< Derived, OtherDerived >	operator* (const MatrixBase< OtherDerived > &other) const

template<typename OtherDerived >
const Product< Derived, OtherDerived, AliasFreeProduct >	operator* (const SparseMatrixBase< OtherDerived > &other) const

template<typename Derived >
EIGEN_STRONG_INLINE Derived &	operator*= (const Scalar &other)

Derived &	operator*= (const Scalar &other)

template<typename OtherDerived >
Derived &	operator*= (const SparseMatrixBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator+= (const DiagonalBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator+= (const EigenBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator+= (const SparseMatrixBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_STRONG_INLINE Derived &	operator+= (const SparseMatrixBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator-= (const DiagonalBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator-= (const EigenBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator-= (const SparseMatrixBase< OtherDerived > &other)

template<typename OtherDerived >
EIGEN_STRONG_INLINE Derived &	operator-= (const SparseMatrixBase< OtherDerived > &other)

Derived &	operator/= (const Scalar &other)

template<typename Derived >
Derived &	operator= (const Derived &other)

Derived &	operator= (const Derived &other)

template<typename OtherDerived >
Derived &	operator= (const EigenBase< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator= (const ReturnByValue< OtherDerived > &other)

template<typename OtherDerived >
Derived &	operator= (const SparseMatrixBase< OtherDerived > &other)

Index	outerSize () const

const SparseView< Derived >	pruned (const Scalar &reference=Scalar(0), const RealScalar &epsilon=NumTraits< Scalar >::dummy_precision()) const

Index	rows () const

template<unsigned int UpLo>
SparseMatrixBase< Derived >::template SelfAdjointViewReturnType< UpLo >::Type	selfadjointView ()

template<unsigned int UpLo>
SelfAdjointViewReturnType< UpLo >::Type	selfadjointView ()

template<unsigned int UpLo>
SparseMatrixBase< Derived >::template ConstSelfAdjointViewReturnType< UpLo >::Type	selfadjointView () const

template<unsigned int UpLo>
ConstSelfAdjointViewReturnType< UpLo >::Type	selfadjointView () const

Index	size () const

	SparseMatrixBase ()

RealScalar	squaredNorm () const

Scalar	sum () const

DenseMatrixType	toDense () const

TransposeReturnType	transpose ()

const ConstTransposeReturnType	transpose () const

template<int Mode>
const TriangularView< const Derived, Mode >	triangularView () const

SparseSymmetricPermutationProduct< Derived, Upper\|Lower >	twistedBy (const PermutationMatrix< Dynamic, Dynamic, StorageIndex > &perm) const

Protected Member Functions
template<typename OtherDerived >
Derived &	assign (const OtherDerived &other)

template<typename OtherDerived >
void	assignGeneric (const OtherDerived &other)

Static Protected Member Functions
static StorageIndex	convert_index (const Index idx)

Protected Attributes
bool	m_isRValue

Private Member Functions
template<typename Dest >
void	evalTo (Dest &) const

Friends
template<typename OtherDerived >
const friend Product< OtherDerived, Derived >	operator* (const DiagonalBase< OtherDerived > &lhs, const SparseMatrixBase &rhs)

template<typename OtherDerived >
const friend Product< OtherDerived, Derived >	operator* (const MatrixBase< OtherDerived > &lhs, const SparseMatrixBase &rhs)

std::ostream &	operator<< (std::ostream &s, const SparseMatrixBase &m)

Detailed Description

Base class of any sparse matrices or sparse expressions.

Template Parameters

Derived is the derived type, e.g. a sparse matrix type, or an expression, etc.

This class can be extended with the help of the plugin mechanism described on the page TopicCustomizing_Plugins by defining the preprocessor symbol EIGEN_SPARSEMATRIXBASE_PLUGIN.

Definition at line 281 of file ForwardDeclarations.h.

Member Typedef Documentation

◆ AdjointReturnType

typedef internal::conditional<NumTraits<Scalar>::IsComplex, CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, Eigen::Transpose<const Derived> >, Transpose<const Derived> >::type Eigen::SparseMatrixBase::AdjointReturnType

Definition at line 109 of file SparseMatrixBase.h.

◆ Base

typedef EigenBase<Derived> Eigen::SparseMatrixBase::Base

Definition at line 143 of file SparseMatrixBase.h.

◆ CoeffReturnType

typedef internal::conditional<_HasDirectAccess, const Scalar&, Scalar>::type Eigen::SparseMatrixBase::CoeffReturnType

Definition at line 127 of file SparseMatrixBase.h.

◆ ConstantReturnType

typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Matrix<Scalar,Dynamic,Dynamic> > Eigen::SparseMatrixBase::ConstantReturnType

Definition at line 130 of file SparseMatrixBase.h.

◆ ConstInnerVectorReturnType

typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true> Eigen::SparseMatrixBase::ConstInnerVectorReturnType

Definition at line 355 of file SparseMatrixBase.h.

◆ ConstInnerVectorsReturnType

typedef Block<const Derived,Dynamic,Dynamic,true> Eigen::SparseMatrixBase::ConstInnerVectorsReturnType

Definition at line 361 of file SparseMatrixBase.h.

◆ ConstTransposeReturnType

typedef internal::add_const<Transpose<const Derived> >::type Eigen::SparseMatrixBase::ConstTransposeReturnType

Definition at line 111 of file SparseMatrixBase.h.

◆ DenseMatrixType

typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> Eigen::SparseMatrixBase::DenseMatrixType

type of the equivalent dense matrix

Definition at line 133 of file SparseMatrixBase.h.

◆ IndexVector

typedef Matrix<StorageIndex,Dynamic,1> Eigen::SparseMatrixBase::IndexVector

Definition at line 51 of file SparseMatrixBase.h.

◆ InnerVectorReturnType

typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true> Eigen::SparseMatrixBase::InnerVectorReturnType

Definition at line 354 of file SparseMatrixBase.h.

◆ InnerVectorsReturnType

typedef Block<Derived,Dynamic,Dynamic,true> Eigen::SparseMatrixBase::InnerVectorsReturnType

Definition at line 360 of file SparseMatrixBase.h.

◆ PacketReturnType

typedef internal::add_const_on_value_type_if_arithmetic< typename internal::packet_traits<Scalar>::type >::type Eigen::SparseMatrixBase::PacketReturnType

Definition at line 47 of file SparseMatrixBase.h.

◆ PacketScalar

typedef internal::packet_traits<Scalar>::type Eigen::SparseMatrixBase::PacketScalar

Definition at line 38 of file SparseMatrixBase.h.

◆ PlainObject

typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor, StorageIndex> Eigen::SparseMatrixBase::PlainObject

Definition at line 114 of file SparseMatrixBase.h.

◆ RealScalar

typedef NumTraits<Scalar>::Real Eigen::SparseMatrixBase::RealScalar

This is the "real scalar" type; if the Scalar type is already real numbers (e.g. int, float or double) then RealScalar is just the same as Scalar. If Scalar is std::complex<T> then RealScalar is T.

See also: class NumTraits

Definition at line 123 of file SparseMatrixBase.h.

◆ Scalar

typedef internal::traits<Derived>::Scalar Eigen::SparseMatrixBase::Scalar

Definition at line 31 of file SparseMatrixBase.h.

◆ ScalarVector

typedef Matrix<Scalar,Dynamic,1> Eigen::SparseMatrixBase::ScalarVector

Definition at line 52 of file SparseMatrixBase.h.

◆ SquareMatrixType

typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime), EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> Eigen::SparseMatrixBase::SquareMatrixType

type of the equivalent square matrix

Definition at line 136 of file SparseMatrixBase.h.

◆ StorageBaseType

typedef SparseMatrixBase Eigen::SparseMatrixBase::StorageBaseType

Definition at line 49 of file SparseMatrixBase.h.

◆ StorageIndex

typedef internal::traits<Derived>::StorageIndex Eigen::SparseMatrixBase::StorageIndex

The integer type used to store indices within a SparseMatrix. For a SparseMatrix<Scalar,Options,IndexType> it an alias of the third template parameter IndexType.

Definition at line 43 of file SparseMatrixBase.h.

◆ StorageKind

typedef internal::traits<Derived>::StorageKind Eigen::SparseMatrixBase::StorageKind

Definition at line 39 of file SparseMatrixBase.h.

◆ TransposeReturnType

typedef Transpose<Derived> Eigen::SparseMatrixBase::TransposeReturnType

Definition at line 110 of file SparseMatrixBase.h.

◆ value_type

typedef Scalar Eigen::SparseMatrixBase::value_type

The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.

It is an alias for the Scalar type

Definition at line 36 of file SparseMatrixBase.h.

Member Enumeration Documentation

◆ anonymous enum

anonymous enum

Enumerator
RowsAtCompileTime	The number of rows at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime
ColsAtCompileTime	The number of columns at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime
SizeAtCompileTime	This is equal to the number of coefficients, i.e. the number of rows times the number of columns, or to Dynamic if this is not known at compile-time. See also RowsAtCompileTime, ColsAtCompileTime
MaxRowsAtCompileTime
MaxColsAtCompileTime
MaxSizeAtCompileTime
IsVectorAtCompileTime	This is set to true if either the number of rows or the number of columns is known at compile-time to be equal to 1. Indeed, in that case, we are dealing with a column-vector (if there is only one column) or with a row-vector (if there is only one row).
Flags	This stores expression Flags flags which may or may not be inherited by new expressions constructed from this one. See the list of flags.
IsRowMajor
InnerSizeAtCompileTime
_HasDirectAccess

Definition at line 57 of file SparseMatrixBase.h.

Constructor & Destructor Documentation

◆ SparseMatrixBase()

Eigen::SparseMatrixBase::SparseMatrixBase ( )

inline

Definition at line 192 of file SparseMatrixBase.h.

Member Function Documentation

◆ adjoint()

const AdjointReturnType Eigen::SparseMatrixBase::adjoint ( ) const

inline

Definition at line 351 of file SparseMatrixBase.h.

◆ assign()

template<typename OtherDerived >

Derived& Eigen::SparseMatrixBase::assign ( const OtherDerived & other )

inlineprotected

◆ assignGeneric()

template<typename OtherDerived >

void Eigen::SparseMatrixBase::assignGeneric ( const OtherDerived & other )

inlineprotected

◆ blueNorm()

NumTraits< typename internal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase::blueNorm ( ) const

inline

Definition at line 92 of file SparseDot.h.

◆ cols()

Index Eigen::SparseMatrixBase::cols ( ) const

inline

Returns: the number of columns.

See also: rows()

Definition at line 173 of file SparseMatrixBase.h.

◆ const_cast_derived()

Derived& Eigen::SparseMatrixBase::const_cast_derived ( ) const

inline

Definition at line 140 of file SparseMatrixBase.h.

◆ convert_index()

static StorageIndex Eigen::SparseMatrixBase::convert_index ( const Index idx )

inlinestaticprotected

Definition at line 396 of file SparseMatrixBase.h.

◆ cwiseProduct() [1/2]

template<typename OtherDerived >

const EIGEN_STRONG_INLINE CwiseProductDenseReturnType<OtherDerived>::Type Eigen::SparseMatrixBase::cwiseProduct ( const MatrixBase< OtherDerived > & other ) const

◆ cwiseProduct() [2/2]

template<typename OtherDerived >

const EIGEN_STRONG_INLINE SparseMatrixBase<Derived>::template CwiseProductDenseReturnType<OtherDerived>::Type Eigen::SparseMatrixBase::cwiseProduct ( const MatrixBase< OtherDerived > & other ) const

Definition at line 691 of file SparseCwiseBinaryOp.h.

◆ derived() [1/2]

Derived& Eigen::SparseMatrixBase::derived ( )

inline

Definition at line 139 of file SparseMatrixBase.h.

◆ derived() [2/2]

const Derived& Eigen::SparseMatrixBase::derived ( ) const

inline

Definition at line 138 of file SparseMatrixBase.h.

◆ dot() [1/4]

template<typename OtherDerived >

internal::traits<Derived>::Scalar Eigen::SparseMatrixBase::dot ( const MatrixBase< OtherDerived > & other ) const

Definition at line 18 of file SparseDot.h.

◆ dot() [2/4]

template<typename OtherDerived >

Scalar Eigen::SparseMatrixBase::dot ( const MatrixBase< OtherDerived > & other ) const

◆ dot() [3/4]

template<typename OtherDerived >

internal::traits<Derived>::Scalar Eigen::SparseMatrixBase::dot ( const SparseMatrixBase< OtherDerived > & other ) const

Definition at line 43 of file SparseDot.h.

◆ dot() [4/4]

template<typename OtherDerived >

Scalar Eigen::SparseMatrixBase::dot ( const SparseMatrixBase< OtherDerived > & other ) const

◆ eval()

const internal::eval<Derived>::type Eigen::SparseMatrixBase::eval ( ) const

inline

Returns: the matrix or vector obtained by evaluating this expression.

Notice that in the case of a plain matrix or vector (not an expression) this function just returns a const reference, in order to avoid a useless copy.

Definition at line 384 of file SparseMatrixBase.h.

◆ evalTo()

template<typename Dest >

void Eigen::SparseMatrixBase::evalTo ( Dest & ) const

private

◆ innerSize()

Index Eigen::SparseMatrixBase::innerSize ( ) const

inline

Returns: the size of the inner dimension according to the storage order, i.e., the number of rows for a columns major matrix, and the number of cols otherwise

Definition at line 187 of file SparseMatrixBase.h.

◆ innerVector() [1/2]

SparseMatrixBase< Derived >::InnerVectorReturnType Eigen::SparseMatrixBase::innerVector ( Index outer )

Returns: the outer -th column (resp. row) of the matrix *this if *this is col-major (resp. row-major).

Definition at line 333 of file SparseBlock.h.

◆ innerVector() [2/2]

const SparseMatrixBase< Derived >::ConstInnerVectorReturnType Eigen::SparseMatrixBase::innerVector ( Index outer ) const

Returns: the outer -th column (resp. row) of the matrix *this if *this is col-major (resp. row-major). Read-only.

Definition at line 340 of file SparseBlock.h.

◆ innerVectors() [1/2]

SparseMatrixBase< Derived >::InnerVectorsReturnType Eigen::SparseMatrixBase::innerVectors	(	Index	outerStart,
		Index	outerSize
	)

Returns: the outer -th column (resp. row) of the matrix *this if *this is col-major (resp. row-major).

Definition at line 348 of file SparseBlock.h.

◆ innerVectors() [2/2]

const SparseMatrixBase< Derived >::ConstInnerVectorsReturnType Eigen::SparseMatrixBase::innerVectors	(	Index	outerStart,
		Index	outerSize
	)		const

Returns: the outer -th column (resp. row) of the matrix *this if *this is col-major (resp. row-major). Read-only.

Definition at line 361 of file SparseBlock.h.

◆ isApprox() [1/2]

template<typename OtherDerived >

bool Eigen::SparseMatrixBase::isApprox	(	const MatrixBase< OtherDerived > &	other,
		const RealScalar &	prec = `NumTraits<Scalar>::dummy_precision()`
	)		const

inline

Definition at line 375 of file SparseMatrixBase.h.

◆ isApprox() [2/2]

template<typename OtherDerived >

bool Eigen::SparseMatrixBase::isApprox	(	const SparseMatrixBase< OtherDerived > &	other,
		const RealScalar &	prec = `NumTraits<Scalar>::dummy_precision()`
	)		const

Definition at line 17 of file SparseFuzzy.h.

◆ isRValue()

bool Eigen::SparseMatrixBase::isRValue ( ) const

inline

Definition at line 189 of file SparseMatrixBase.h.

◆ isVector()

bool Eigen::SparseMatrixBase::isVector ( ) const

inline

Returns: true if either the number of rows or the number of columns is equal to 1. In other words, this function returns
rows()==1 || cols()==1

See also: rows(), cols(), IsVectorAtCompileTime.

Definition at line 181 of file SparseMatrixBase.h.

◆ markAsRValue()

Derived& Eigen::SparseMatrixBase::markAsRValue ( )

inline

Definition at line 190 of file SparseMatrixBase.h.

◆ norm()

NumTraits< typename internal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase::norm ( ) const

inline

Definition at line 84 of file SparseDot.h.

◆ operator*() [1/3]

template<typename OtherDerived >

const Product<Derived,OtherDerived> Eigen::SparseMatrixBase::operator* ( const DiagonalBase< OtherDerived > & other ) const

inline

Definition at line 297 of file SparseMatrixBase.h.

◆ operator*() [2/3]

template<typename OtherDerived >

const Product<Derived,OtherDerived> Eigen::SparseMatrixBase::operator* ( const MatrixBase< OtherDerived > & other ) const

inline

Definition at line 314 of file SparseMatrixBase.h.

◆ operator*() [3/3]

template<typename OtherDerived >

const Product< Derived, OtherDerived, AliasFreeProduct > Eigen::SparseMatrixBase::operator* ( const SparseMatrixBase< OtherDerived > & other ) const

inline

Returns: an expression of the product of two sparse matrices. By default a conservative product preserving the symbolic non zeros is performed. The automatic pruning of the small values can be achieved by calling the pruned() function in which case a totally different product algorithm is employed:
C = (A*B).pruned(); // supress numerical zeros (exact)

C = (A*B).pruned(ref);

C = (A*B).pruned(ref,epsilon);

where ref is a meaningful non zero reference value.

Definition at line 29 of file SparseProduct.h.

◆ operator*=() [1/3]

template<typename Derived >

EIGEN_STRONG_INLINE Derived& Eigen::SparseMatrixBase::operator*= ( const Scalar & other )

Definition at line 124 of file SparseCwiseUnaryOp.h.

◆ operator*=() [2/3]

Derived& Eigen::SparseMatrixBase::operator*= ( const Scalar & other )

◆ operator*=() [3/3]

template<typename OtherDerived >

Derived& Eigen::SparseMatrixBase::operator*= ( const SparseMatrixBase< OtherDerived > & other )

◆ operator+=() [1/4]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator+= ( const DiagonalBase< OtherDerived > & other )

Definition at line 674 of file SparseCwiseBinaryOp.h.

◆ operator+=() [2/4]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator+= ( const EigenBase< OtherDerived > & other )

Definition at line 642 of file SparseCwiseBinaryOp.h.

◆ operator+=() [3/4]

template<typename OtherDerived >

Derived& Eigen::SparseMatrixBase::operator+= ( const SparseMatrixBase< OtherDerived > & other )

◆ operator+=() [4/4]

template<typename OtherDerived >

EIGEN_STRONG_INLINE Derived& Eigen::SparseMatrixBase::operator+= ( const SparseMatrixBase< OtherDerived > & other )

Definition at line 667 of file SparseCwiseBinaryOp.h.

◆ operator-=() [1/4]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator-= ( const DiagonalBase< OtherDerived > & other )

Definition at line 682 of file SparseCwiseBinaryOp.h.

◆ operator-=() [2/4]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator-= ( const EigenBase< OtherDerived > & other )

Definition at line 650 of file SparseCwiseBinaryOp.h.

◆ operator-=() [3/4]

template<typename OtherDerived >

Derived& Eigen::SparseMatrixBase::operator-= ( const SparseMatrixBase< OtherDerived > & other )

◆ operator-=() [4/4]

template<typename OtherDerived >

EIGEN_STRONG_INLINE Derived& Eigen::SparseMatrixBase::operator-= ( const SparseMatrixBase< OtherDerived > & other )

Definition at line 659 of file SparseCwiseBinaryOp.h.

◆ operator/=()

EIGEN_STRONG_INLINE Derived & Eigen::SparseMatrixBase::operator/= ( const Scalar & other )

Definition at line 136 of file SparseCwiseUnaryOp.h.

◆ operator=() [1/5]

template<typename Derived >

Derived& Eigen::SparseMatrixBase::operator= ( const Derived & other )

inline

Definition at line 43 of file SparseAssign.h.

◆ operator=() [2/5]

Derived& Eigen::SparseMatrixBase::operator= ( const Derived & other )

inline

◆ operator=() [3/5]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator= ( const EigenBase< OtherDerived > & other )

Definition at line 17 of file SparseAssign.h.

◆ operator=() [4/5]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator= ( const ReturnByValue< OtherDerived > & other )

Definition at line 25 of file SparseAssign.h.

◆ operator=() [5/5]

template<typename OtherDerived >

Derived & Eigen::SparseMatrixBase::operator= ( const SparseMatrixBase< OtherDerived > & other )

inline

Definition at line 34 of file SparseAssign.h.

◆ outerSize()

Index Eigen::SparseMatrixBase::outerSize ( ) const

inline

Returns: the size of the storage major dimension, i.e., the number of columns for a columns major matrix, and the number of rows otherwise

Definition at line 184 of file SparseMatrixBase.h.

◆ pruned()

const SparseView< Derived > Eigen::SparseMatrixBase::pruned	(	const Scalar &	reference = `Scalar(0)`,
		const RealScalar &	epsilon = `NumTraits<Scalar>::dummy_precision()`
	)		const

inline

Returns: an expression of *this with values smaller than reference * epsilon removed.

This method is typically used in conjunction with the product of two sparse matrices to automatically prune the smallest values as follows:

C = (A*B).pruned();             // suppress numerical zeros (exact)
C = (A*B).pruned(ref);
C = (A*B).pruned(ref,epsilon);

where ref is a meaningful non zero reference value.

Definition at line 245 of file SparseView.h.

◆ rows()

Index Eigen::SparseMatrixBase::rows ( ) const

inline

Returns: the number of rows.

See also: cols()

Definition at line 171 of file SparseMatrixBase.h.

◆ selfadjointView() [1/4]

template<unsigned int UpLo>

SparseMatrixBase<Derived>::template SelfAdjointViewReturnType<UpLo>::Type Eigen::SparseMatrixBase::selfadjointView ( )

Definition at line 182 of file SparseSelfAdjointView.h.

◆ selfadjointView() [2/4]

template<unsigned int UpLo>

SelfAdjointViewReturnType<UpLo>::Type Eigen::SparseMatrixBase::selfadjointView ( )

inline

◆ selfadjointView() [3/4]

template<unsigned int UpLo>

SparseMatrixBase<Derived>::template ConstSelfAdjointViewReturnType<UpLo>::Type Eigen::SparseMatrixBase::selfadjointView ( ) const

Definition at line 175 of file SparseSelfAdjointView.h.

◆ selfadjointView() [4/4]

template<unsigned int UpLo>

ConstSelfAdjointViewReturnType<UpLo>::Type Eigen::SparseMatrixBase::selfadjointView ( ) const

inline

◆ size()

Index Eigen::SparseMatrixBase::size ( ) const

inline

Returns: the number of coefficients, which is rows()*cols().

See also: rows(), cols().

Definition at line 176 of file SparseMatrixBase.h.

◆ squaredNorm()

NumTraits< typename internal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase::squaredNorm ( ) const

inline

Definition at line 77 of file SparseDot.h.

◆ sum()

internal::traits< Derived >::Scalar Eigen::SparseMatrixBase::sum ( ) const

Definition at line 17 of file SparseRedux.h.

◆ toDense()

DenseMatrixType Eigen::SparseMatrixBase::toDense ( ) const

inline

Definition at line 365 of file SparseMatrixBase.h.

◆ transpose() [1/2]

TransposeReturnType Eigen::SparseMatrixBase::transpose ( )

inline

Definition at line 349 of file SparseMatrixBase.h.

◆ transpose() [2/2]

const ConstTransposeReturnType Eigen::SparseMatrixBase::transpose ( ) const

inline

Definition at line 350 of file SparseMatrixBase.h.

◆ triangularView()

template<int Mode>

const TriangularView< const Derived, Mode > Eigen::SparseMatrixBase::triangularView ( ) const

inline

Definition at line 182 of file SparseTriangularView.h.

◆ twistedBy()

SparseSymmetricPermutationProduct<Derived,Upper|Lower> Eigen::SparseMatrixBase::twistedBy ( const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & perm ) const

inline

Returns: an expression of P H P^-1 where H is the matrix represented by *this

Definition at line 324 of file SparseMatrixBase.h.

Friends And Related Function Documentation

◆ operator* [1/2]

template<typename OtherDerived >

const friend Product<OtherDerived,Derived> operator*	(	const DiagonalBase< OtherDerived > &	lhs,
		const SparseMatrixBase &	rhs
	)

friend

Definition at line 303 of file SparseMatrixBase.h.

◆ operator* [2/2]

template<typename OtherDerived >

const friend Product<OtherDerived,Derived> operator*	(	const MatrixBase< OtherDerived > &	lhs,
		const SparseMatrixBase &	rhs
	)

friend

Definition at line 320 of file SparseMatrixBase.h.

◆ operator<<

std::ostream& operator<<	(	std::ostream &	s,
		const SparseMatrixBase &	m
	)

friend

Definition at line 213 of file SparseMatrixBase.h.

Member Data Documentation

◆ m_isRValue

bool Eigen::SparseMatrixBase::m_isRValue

protected

Definition at line 394 of file SparseMatrixBase.h.

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

Classes

Public Types

Public Member Functions

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Private Member Functions

Friends

Detailed Description

Member Typedef Documentation

◆ AdjointReturnType

◆ Base

◆ CoeffReturnType

◆ ConstantReturnType

◆ ConstInnerVectorReturnType

◆ ConstInnerVectorsReturnType

◆ ConstTransposeReturnType

◆ DenseMatrixType

◆ IndexVector

◆ InnerVectorReturnType

◆ InnerVectorsReturnType

◆ PacketReturnType

◆ PacketScalar

◆ PlainObject

◆ RealScalar

◆ Scalar

◆ ScalarVector

◆ SquareMatrixType

◆ StorageBaseType

◆ StorageIndex

◆ StorageKind

◆ TransposeReturnType

◆ value_type

Member Enumeration Documentation

◆ anonymous enum

Constructor & Destructor Documentation

◆ SparseMatrixBase()

Member Function Documentation

◆ adjoint()

◆ assign()

◆ assignGeneric()

◆ blueNorm()

◆ cols()

◆ const_cast_derived()

◆ convert_index()

◆ cwiseProduct() [1/2]

◆ cwiseProduct() [2/2]

◆ derived() [1/2]

◆ derived() [2/2]

◆ dot() [1/4]

◆ dot() [2/4]

◆ dot() [3/4]

◆ dot() [4/4]

◆ eval()

◆ evalTo()

◆ innerSize()

◆ innerVector() [1/2]

◆ innerVector() [2/2]

◆ innerVectors() [1/2]

◆ innerVectors() [2/2]

◆ isApprox() [1/2]

◆ isApprox() [2/2]

◆ isRValue()

◆ isVector()

◆ markAsRValue()

◆ norm()

◆ operator*() [1/3]

◆ operator*() [2/3]

◆ operator*() [3/3]

◆ operator*=() [1/3]

◆ operator*=() [2/3]

◆ operator*=() [3/3]

◆ operator+=() [1/4]

◆ operator+=() [2/4]

◆ operator+=() [3/4]

◆ operator+=() [4/4]

◆ operator-=() [1/4]

◆ operator-=() [2/4]

◆ operator-=() [3/4]

◆ operator-=() [4/4]