Eigen::SparseVector< _Scalar, _Options, _StorageIndex > Class Template Reference

a sparse vector class More...

#include <src/eigen/Eigen/src/SparseCore/SparseVector.h>

Inheritance diagram for Eigen::SparseVector< _Scalar, _Options, _StorageIndex >:

Collaboration diagram for Eigen::SparseVector< _Scalar, _Options, _StorageIndex >:

Public Types
enum	{ IsColVector = internal::traits<SparseVector>::IsColVector }
enum	{ Options = _Options }
typedef internal::CompressedStorage< Scalar, StorageIndex >	Storage
typedef Base::InnerIterator	InnerIterator
typedef Base::ReverseInnerIterator	ReverseInnerIterator
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::traits< Derived >::Scalar	Scalar
typedef Scalar	value_type
typedef internal::packet_traits< Scalar >::type	PacketScalar
typedef internal::traits< Derived >::StorageKind	StorageKind
typedef internal::traits< Derived >::StorageIndex	StorageIndex
typedef internal::add_const_on_value_type_if_arithmetic< typenameinternal::packet_traits< Scalar >::type >::type	PacketReturnType
typedef SparseMatrixBase	StorageBaseType
typedef Matrix< Scalar, Dynamic, 1 >	ScalarVector
typedef internal::conditional< NumTraits< Scalar >::IsComplex, CwiseUnaryOp< internal::scalar_conjugate_op< Scalar >, Eigen::Transpose< constDerived > >, Transpose< constDerived > >::type	AdjointReturnType
typedef Transpose< Derived >	TransposeReturnType
typedef internal::add_const< Transpose< constDerived > >::type	ConstTransposeReturnType
typedef SparseMatrix< Scalar, Flags &RowMajorBit ? RowMajor :ColMajor, StorageIndex >	PlainObject
typedef NumTraits< Scalar >::Real	RealScalar
typedef internal::conditional< _HasDirectAccess, constScalar &, Scalar >::type	CoeffReturnType
typedef CwiseNullaryOp< internal::scalar_constant_op< Scalar >, Matrix< Scalar, Dynamic, Dynamic > >	ConstantReturnType
typedef Matrix< Scalar, RowsAtCompileTime, ColsAtCompileTime >	DenseMatrixType
typedef Matrix< Scalar, EIGEN_SIZE_MAX(RowsAtCompileTime, ColsAtCompileTime), EIGEN_SIZE_MAX(RowsAtCompileTime, ColsAtCompileTime)>	SquareMatrixType
typedef Block< Derived, IsRowMajor?1:Dynamic, IsRowMajor?Dynamic:1, true >	InnerVectorReturnType
typedef Block< const Derived, IsRowMajor?1:Dynamic, IsRowMajor?Dynamic:1, true >	ConstInnerVectorReturnType
typedef Block< Derived, Dynamic, Dynamic, true >	InnerVectorsReturnType
typedef Block< const Derived, Dynamic, Dynamic, true >	ConstInnerVectorsReturnType
typedef Eigen::Index	Index
	The interface type of indices.

Public Member Functions
EIGEN_STRONG_INLINE Index	rows () const
EIGEN_STRONG_INLINE Index	cols () const
EIGEN_STRONG_INLINE Index	innerSize () const
EIGEN_STRONG_INLINE Index	outerSize () const
EIGEN_STRONG_INLINE const Scalar *	valuePtr () const
EIGEN_STRONG_INLINE Scalar *	valuePtr ()
EIGEN_STRONG_INLINE const StorageIndex *	innerIndexPtr () const
EIGEN_STRONG_INLINE StorageIndex *	innerIndexPtr ()
const StorageIndex *	outerIndexPtr () const
StorageIndex *	outerIndexPtr ()
const StorageIndex *	innerNonZeroPtr () const
StorageIndex *	innerNonZeroPtr ()
Storage &	data ()
const Storage &	data () const
Scalar	coeff (Index row, Index col) const
Scalar	coeff (Index i) const
Scalar &	coeffRef (Index row, Index col)
Scalar &	coeffRef (Index i)
void	setZero ()
Index	nonZeros () const
void	startVec (Index outer)
Scalar &	insertBackByOuterInner (Index outer, Index inner)
Scalar &	insertBack (Index i)
Scalar &	insertBackByOuterInnerUnordered (Index outer, Index inner)
Scalar &	insertBackUnordered (Index i)
Scalar &	insert (Index row, Index col)
Scalar &	insert (Index i)
void	reserve (Index reserveSize)
void	finalize ()
void	prune (const Scalar &reference, const RealScalar &epsilon=NumTraits< RealScalar >::dummy_precision())
void	resize (Index rows, Index cols)
void	resize (Index newSize)
void	conservativeResize (Index newSize)
void	resizeNonZeros (Index size)
	SparseVector ()
	SparseVector (Index size)
	SparseVector (Index rows, Index cols)
template<typename OtherDerived >
	SparseVector (const SparseMatrixBase< OtherDerived > &other)
	SparseVector (const SparseVector &other)
void	swap (SparseVector &other)
template<int OtherOptions>
void	swap (SparseMatrix< Scalar, OtherOptions, StorageIndex > &other)
SparseVector &	operator= (const SparseVector &other)
template<typename OtherDerived >
SparseVector &	operator= (const SparseMatrixBase< OtherDerived > &other)
template<typename Lhs , typename Rhs >
SparseVector &	operator= (const SparseSparseProduct< Lhs, Rhs > &product)
	~SparseVector ()
Scalar	sum () const
EIGEN_DEPRECATED void	startFill (Index reserve)
EIGEN_DEPRECATED Scalar &	fill (Index r, Index c)
EIGEN_DEPRECATED Scalar &	fill (Index i)
EIGEN_DEPRECATED Scalar &	fillrand (Index r, Index c)
EIGEN_DEPRECATED Scalar &	fillrand (Index i)
EIGEN_DEPRECATED void	endFill ()
EIGEN_DEPRECATED Storage &	_data ()
EIGEN_DEPRECATED const Storage &	_data () const
bool	isCompressed () const
const Map< const Array< Scalar, Dynamic, 1 > >	coeffs () const
Map< Array< Scalar, Dynamic, 1 > >	coeffs ()
const Derived &	derived () const
Derived &	derived ()
Derived &	const_cast_derived () const
Index	size () const
bool	isVector () const
bool	isRValue () const
Derived &	markAsRValue ()
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 >
EIGEN_STRONG_INLINE Derived &	operator+= (const SparseMatrixBase< OtherDerived > &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 >
EIGEN_STRONG_INLINE Derived &	operator-= (const SparseMatrixBase< OtherDerived > &other)
Derived &	operator*= (const Scalar &other)
template<typename OtherDerived >
Derived &	operator*= (const SparseMatrixBase< OtherDerived > &other)
Derived &	operator/= (const Scalar &other)
template<typename OtherDerived >
EIGEN_STRONG_INLINE const CwiseProductDenseReturnType< OtherDerived >::Type	cwiseProduct (const MatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
EIGEN_STRONG_INLINE const SparseMatrixBase< Derived >::template CwiseProductDenseReturnType< OtherDerived >::Type	cwiseProduct (const MatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
const Product< Derived, OtherDerived >	operator* (const DiagonalBase< OtherDerived > &other) const
template<typename OtherDerived >
const Product< Derived, OtherDerived, AliasFreeProduct >	operator* (const SparseMatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
const Product< Derived, OtherDerived >	operator* (const MatrixBase< OtherDerived > &other) const
SparseSymmetricPermutationProduct< Derived, Upper|Lower >	twistedBy (const PermutationMatrix< Dynamic, Dynamic, StorageIndex > &perm) const
template<int Mode>
const TriangularView< const Derived, Mode >	triangularView () const
template<unsigned int UpLo>
ConstSelfAdjointViewReturnType< UpLo >::Type	selfadjointView () const
template<unsigned int UpLo>
SelfAdjointViewReturnType< UpLo >::Type	selfadjointView ()
template<unsigned int UpLo>
SparseMatrixBase< Derived >::template ConstSelfAdjointViewReturnType< UpLo >::Type	selfadjointView () const
template<unsigned int UpLo>
SparseMatrixBase< Derived >::template SelfAdjointViewReturnType< UpLo >::Type	selfadjointView ()
template<typename OtherDerived >
Scalar	dot (const MatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
Scalar	dot (const SparseMatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
internal::traits< Derived >::Scalar	dot (const MatrixBase< OtherDerived > &other) const
template<typename OtherDerived >
internal::traits< Derived >::Scalar	dot (const SparseMatrixBase< OtherDerived > &other) const
RealScalar	squaredNorm () const
RealScalar	norm () const
RealScalar	blueNorm () const
TransposeReturnType	transpose ()
const ConstTransposeReturnType	transpose () const
const AdjointReturnType	adjoint () 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
DenseMatrixType	toDense () const
template<typename OtherDerived >
bool	isApprox (const SparseMatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const
template<typename OtherDerived >
bool	isApprox (const MatrixBase< OtherDerived > &other, const RealScalar &prec=NumTraits< Scalar >::dummy_precision()) const
const internal::eval< Derived >::type	eval () const
const SparseView< Derived >	pruned (const Scalar &reference=Scalar(0), const RealScalar &epsilon=NumTraits< Scalar >::dummy_precision()) const
EIGEN_DEVICE_FUNC const Derived &	const_derived () const
template<typename Dest >
EIGEN_DEVICE_FUNC void	addTo (Dest &dst) const
template<typename Dest >
EIGEN_DEVICE_FUNC void	subTo (Dest &dst) const
template<typename Dest >
EIGEN_DEVICE_FUNC void	applyThisOnTheRight (Dest &dst) const
template<typename Dest >
EIGEN_DEVICE_FUNC void	applyThisOnTheLeft (Dest &dst) const

Protected Types
typedef Base::IndexVector	IndexVector

Protected Member Functions
Eigen::Map< IndexVector >	innerNonZeros ()
const Eigen::Map< const IndexVector >	innerNonZeros () const
template<typename OtherDerived >
Derived &	assign (const OtherDerived &other)
template<typename OtherDerived >
void	assignGeneric (const OtherDerived &other)

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

Protected Attributes
Storage	m_data
Index	m_size
bool	m_isRValue

Private Types
typedef SparseCompressedBase< SparseVector >	Base

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

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

Detailed Description

template<typename _Scalar, int _Options, typename _StorageIndex>
class Eigen::SparseVector< _Scalar, _Options, _StorageIndex >

a sparse vector class

Template Parameters

_Scalar

the scalar type, i.e. the type of the coefficients

See http://www.netlib.org/linalg/html_templates/node91.html for details on the storage scheme.

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

Member Typedef Documentation

AdjointReturnType

template<typename Derived >

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

inherited

Base

template<typename _Scalar , int _Options, typename _StorageIndex >

typedef SparseCompressedBase<SparseVector> Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::Base

private

CoeffReturnType

template<typename Derived >

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

inherited

ConstantReturnType

template<typename Derived >

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

inherited

ConstInnerVectorReturnType

template<typename Derived >

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

inherited

ConstInnerVectorsReturnType

template<typename Derived >

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

inherited

ConstTransposeReturnType

template<typename Derived >

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

inherited

DenseMatrixType

template<typename Derived >

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

inherited

type of the equivalent dense matrix

Index

template<typename Derived >

typedef Eigen::Index Eigen::EigenBase< Derived >::Index

inherited

The interface type of indices.

To change this, #define the preprocessor symbol EIGEN_DEFAULT_DENSE_INDEX_TYPE.

See also

StorageIndex, TopicPreprocessorDirectives.

IndexVector

typedef Base::IndexVector Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::IndexVector

protectedinherited

InnerIterator

template<typename _Scalar , int _Options, typename _StorageIndex >

typedef Base::InnerIterator Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::InnerIterator

InnerVectorReturnType

template<typename Derived >

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

inherited

InnerVectorsReturnType

template<typename Derived >

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

inherited

PacketReturnType

template<typename Derived >

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

inherited

PacketScalar

template<typename Derived >

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

inherited

PlainObject

template<typename Derived >

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

inherited

RealScalar

template<typename Derived >

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

inherited

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

ReverseInnerIterator

template<typename _Scalar , int _Options, typename _StorageIndex >

typedef Base::ReverseInnerIterator Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::ReverseInnerIterator

Scalar

template<typename Derived >

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

inherited

ScalarVector

template<typename Derived >

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

inherited

SquareMatrixType

template<typename Derived >

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

inherited

type of the equivalent square matrix

Storage

template<typename _Scalar , int _Options, typename _StorageIndex >

typedef internal::CompressedStorage<Scalar,StorageIndex> Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::Storage

StorageBaseType

template<typename Derived >

typedef SparseMatrixBase Eigen::SparseMatrixBase< Derived >::StorageBaseType

inherited

StorageIndex

template<typename Derived >

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

inherited

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.

StorageKind

template<typename Derived >

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

inherited

TransposeReturnType

template<typename Derived >

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

inherited

value_type

template<typename Derived >

typedef Scalar Eigen::SparseMatrixBase< Derived >::value_type

inherited

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

Member Enumeration Documentation

anonymous enum

template<typename Derived >

anonymous enum

inherited

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

         {
 
      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
      MaxRowsAtCompileTime = RowsAtCompileTime,
      MaxColsAtCompileTime = ColsAtCompileTime,
 
      MaxSizeAtCompileTime = (internal::size_at_compile_time<MaxRowsAtCompileTime,
                                                      MaxColsAtCompileTime>::ret),
 
      IsVectorAtCompileTime = RowsAtCompileTime == 1 || ColsAtCompileTime == 1,
      Flags = internal::traits<Derived>::Flags,
      IsRowMajor = Flags&RowMajorBit ? 1 : 0,
      
      InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
                             : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
 
      #ifndef EIGEN_PARSED_BY_DOXYGEN
      _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 // workaround sunCC
      #endif
    };

anonymous enum

template<typename _Scalar , int _Options, typename _StorageIndex >

anonymous enum

Enumerator
IsColVector

{ IsColVector = internal::traits<SparseVector>::IsColVector };

anonymous enum

template<typename _Scalar , int _Options, typename _StorageIndex >

anonymous enum

Enumerator
Options

         {
      Options = _Options
    };

Constructor & Destructor Documentation

SparseVector() [1/5]

template<typename _Scalar , int _Options, typename _StorageIndex >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector ( )

inline

: m_size(0) { check_template_parameters(); resize(0); }

SparseVector() [2/5]

template<typename _Scalar , int _Options, typename _StorageIndex >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector ( Index  size )

inlineexplicit

: m_size(0) { check_template_parameters(); resize(size); }

SparseVector() [3/5]

template<typename _Scalar , int _Options, typename _StorageIndex >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector ( Index  rows, Index  cols  )

inline

: m_size(0) { check_template_parameters(); resize(rows,cols); }

SparseVector() [4/5]

template<typename _Scalar , int _Options, typename _StorageIndex >

template<typename OtherDerived >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector ( const SparseMatrixBase< OtherDerived > &  other )

inline

      : m_size(0)
    {
      #ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
        EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
      #endif
      check_template_parameters();
      *this = other.derived();
    }

References Eigen::SparseMatrixBase< Derived >::derived().

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SparseVector() [5/5]

template<typename _Scalar , int _Options, typename _StorageIndex >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector ( const SparseVector< _Scalar, _Options, _StorageIndex > &  other )

inline

      : Base(other), m_size(0)
    {
      check_template_parameters();
      *this = other.derived();
    }

References Eigen::SparseMatrixBase< Derived >::derived().

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~SparseVector()

template<typename _Scalar , int _Options, typename _StorageIndex >

Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::~SparseVector ( )

inline

Destructor

{}

Member Function Documentation

_data() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED Storage & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::_data ( )

inline

{ return m_data; }

_data() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED const Storage & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::_data ( ) const

inline

{ return m_data; }

addTo()

template<typename Derived >

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::EigenBase< Derived >::addTo ( Dest &  dst ) const

inlineinherited

  {
    // This is the default implementation,
    // derived class can reimplement it in a more optimized way.
    typename Dest::PlainObject res(rows(),cols());
    evalTo(res);
    dst += res;
  }

adjoint()

template<typename Derived >

const AdjointReturnType Eigen::SparseMatrixBase< Derived >::adjoint ( ) const

inlineinherited

{ return AdjointReturnType(transpose()); }

References Eigen::SparseMatrixBase< Derived >::transpose().

Referenced by Eigen::IncompleteCholesky< Scalar, _UpLo, _OrderingType >::_solve_impl(), and Eigen::SparseSelfAdjointView< MatrixType, _Mode >::rankUpdate().

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applyThisOnTheLeft()

template<typename Derived >

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::EigenBase< Derived >::applyThisOnTheLeft ( Dest &  dst ) const

inlineinherited

  {
    // This is the default implementation,
    // derived class can reimplement it in a more optimized way.
    dst = this->derived() * dst;
  }

References Eigen::EigenBase< Derived >::derived().

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applyThisOnTheRight()

template<typename Derived >

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::EigenBase< Derived >::applyThisOnTheRight ( Dest &  dst ) const

inlineinherited

  {
    // This is the default implementation,
    // derived class can reimplement it in a more optimized way.
    dst = dst * this->derived();
  }

References Eigen::EigenBase< Derived >::derived().

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assign()

template<typename Derived >

template<typename OtherDerived >

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

inlineprotectedinherited

assignGeneric()

template<typename Derived >

template<typename OtherDerived >

void Eigen::SparseMatrixBase< Derived >::assignGeneric ( const OtherDerived &  other )

inlineprotectedinherited

blueNorm()

template<typename Derived >

NumTraits< typenameinternal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase< Derived >::blueNorm

inlineinherited

{
  return internal::blueNorm_impl(*this);
}

References Eigen::internal::blueNorm_impl().

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check_template_parameters()

template<typename _Scalar , int _Options, typename _StorageIndex >

static void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::check_template_parameters ( )

inlinestaticprotected

    {
      EIGEN_STATIC_ASSERT(NumTraits<StorageIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
      EIGEN_STATIC_ASSERT((_Options&(ColMajor|RowMajor))==Options,INVALID_MATRIX_TEMPLATE_PARAMETERS);
    }

References Eigen::ColMajor, EIGEN_STATIC_ASSERT, and Eigen::RowMajor.

coeff() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::coeff ( Index  i ) const

inline

    {
      eigen_assert(i>=0 && i<m_size);
      return m_data.at(StorageIndex(i));
    }

References eigen_assert.

coeff() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::coeff ( Index  row, Index  col  ) const

inline

    {
      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
      return coeff(IsColVector ? row : col);
    }

References col(), eigen_assert, and row().

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coeffRef() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::coeffRef ( Index  i )

inline

Returns

a reference to the coefficient value at given index i This operation involes a log(rho*size) binary search. If the coefficient does not exist yet, then a sorted insertion into a sequential buffer is performed.

This insertion might be very costly if the number of nonzeros above i is large.

    {
      eigen_assert(i>=0 && i<m_size);
 
      return m_data.atWithInsertion(StorageIndex(i));
    }

References eigen_assert.

coeffRef() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::coeffRef ( Index  row, Index  col  )

inline

    {
      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
      return coeffRef(IsColVector ? row : col);
    }

References col(), eigen_assert, and row().

Referenced by igl::count(), and igl::sum().

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coeffs() [1/2]

Map< Array< Scalar, Dynamic, 1 > > Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::coeffs ( )

inlineinherited

Returns

a read-write view of the stored coefficients as a 1D array expression

Warning

this method is for compressed storage only, and it will trigger an assertion otherwise.

Here is an example:

and the output is:

See also

valuePtr(), isCompressed()

{ eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }

coeffs() [2/2]

const Map< const Array< Scalar, Dynamic, 1 > > Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::coeffs ( ) const

inlineinherited

Returns

a read-only view of the stored coefficients as a 1D array expression.

Warning

this method is for compressed storage only, and it will trigger an assertion otherwise.

See also

valuePtr(), isCompressed()

{ eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }

cols()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::cols ( ) const

inline

{ return IsColVector ? 1 : m_size; }

conservativeResize()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::conservativeResize ( Index  newSize )

inline

Resizes the sparse vector to newSize, while leaving old values untouched.

If the size of the vector is decreased, then the storage of the out-of bounds coefficients is kept and reserved. Call .data().squeeze() to free extra memory.

See also

reserve(), setZero()

    {
      if (newSize < m_size)
      {
        Index i = 0;
        while (i<m_data.size() && m_data.index(i)<newSize) ++i;
        m_data.resize(i);
      }
      m_size = newSize;
    }

const_cast_derived()

template<typename Derived >

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

inlineinherited

    { return *static_cast<Derived*>(const_cast<SparseMatrixBase*>(this)); }

Referenced by Eigen::Ref< SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::Ref< SparseVector< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::internal::evaluator< DynamicSparseMatrix< _Scalar, _Options, _StorageIndex > >::operator SparseMatrixType &(), Eigen::internal::evaluator< SparseVector< _Scalar, _Options, _Index > >::operator SparseVectorType &(), Eigen::DynamicSparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::viewAsCholmod(), and Eigen::viewAsCholmod().

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const_derived()

template<typename Derived >

EIGEN_DEVICE_FUNC const Derived & Eigen::EigenBase< Derived >::const_derived ( ) const

inlineinherited

  { return *static_cast<const Derived*>(this); }

convert_index()

template<typename Derived >

static StorageIndex Eigen::SparseMatrixBase< Derived >::convert_index ( const Index  idx )

inlinestaticprotectedinherited

                                                              {
      return internal::convert_index<StorageIndex>(idx);
    }

Referenced by Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::conservativeResize().

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cwiseProduct() [1/2]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  return typename CwiseProductDenseReturnType<OtherDerived>::Type(derived(), other.derived());
}

cwiseProduct() [2/2]

template<typename Derived >

template<typename OtherDerived >

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

inherited

Referenced by Eigen::MatrixBase< Derived >::cwiseProduct().

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data() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Storage & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::data ( )

inline

{ return m_data; }

data() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

const Storage & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::data ( ) const

inline

{ return m_data; }

derived() [1/2]

template<typename Derived >

Derived & Eigen::SparseMatrixBase< Derived >::derived ( )

inlineinherited

{ return *static_cast<Derived*>(this); }

derived() [2/2]

template<typename Derived >

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

inlineinherited

{ return *static_cast<const Derived*>(this); }

Referenced by Eigen::DynamicSparseMatrix< _Scalar, _Options, _StorageIndex >::DynamicSparseMatrix(), Eigen::DynamicSparseMatrix< _Scalar, _Options, _StorageIndex >::DynamicSparseMatrix(), Eigen::Ref< const SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::Ref< const SparseVector< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::Ref< SparseMatrix< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::Ref< SparseVector< MatScalar, MatOptions, MatIndex >, Options, StrideType >::Ref(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::SparseMatrix(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::SparseMatrix(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::SparseVector(), Eigen::IterativeSolverBase< Derived >::_solve_impl(), Eigen::SparseSolverBase< Derived >::_solve_impl(), Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::_solve_impl(), Eigen::SparseMatrixBase< Derived >::cols(), Eigen::SparseMatrixBase< Derived >::dot(), Eigen::SparseMatrixBase< Derived >::eval(), Eigen::SparseCompressedBase< Derived >::innerIndexPtr(), Eigen::SparseCompressedBase< Derived >::innerIndexPtr(), Eigen::SparseCompressedBase< Derived >::innerNonZeroPtr(), Eigen::SparseCompressedBase< Derived >::innerNonZeroPtr(), Eigen::SparseCompressedBase< Derived >::innerNonZeros(), Eigen::SparseCompressedBase< Derived >::innerNonZeros(), Eigen::SparseMatrixBase< Derived >::isApprox(), Eigen::SluMatrix::Map(), Eigen::SparseMatrixBase< Derived >::markAsRValue(), Eigen::SparseCompressedBase< Derived >::nonZeros(), Eigen::SparseMatrixBase< Derived >::operator*(), Eigen::operator*(), Eigen::SparseMatrixBase< Derived >::operator*(), Eigen::operator*(), Eigen::SparseMatrixBase< Derived >::operator*(), Eigen::SparseSelfAdjointView< MatrixType, _Mode >::operator*(), Eigen::operator*(), Eigen::operator*(), Eigen::SparseMatrixBase< Derived >::operator+=(), Eigen::SparseMatrixBase< Derived >::operator-=(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator=(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseMatrixBase< Derived >::operator=(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseCompressedBase< Derived >::outerIndexPtr(), Eigen::SparseCompressedBase< Derived >::outerIndexPtr(), Eigen::internal::permute_symm_to_fullsymm(), Eigen::internal::permute_symm_to_symm(), Eigen::SparseMatrixBase< Derived >::rows(), Eigen::SparseQR< _MatrixType, _OrderingType >::solve(), Eigen::SparseMatrixBase< Derived >::toDense(), Eigen::SparseMatrixBase< Derived >::transpose(), Eigen::SparseMatrixBase< Derived >::transpose(), Eigen::SparseMatrixBase< Derived >::twistedBy(), Eigen::SparseCompressedBase< Derived >::valuePtr(), and Eigen::SparseCompressedBase< Derived >::valuePtr().

dot() [1/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
 
  eigen_assert(size() == other.size());
  eigen_assert(other.size()>0 && "you are using a non initialized vector");
 
  internal::evaluator<Derived> thisEval(derived());
  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
  Scalar res(0);
  while (i)
  {
    res += numext::conj(i.value()) * other.coeff(i.index());
    ++i;
  }
  return res;
}

References eigen_assert, EIGEN_STATIC_ASSERT, EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE, and EIGEN_STATIC_ASSERT_VECTOR_ONLY.

dot() [2/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

dot() [3/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
 
  eigen_assert(size() == other.size());
 
  internal::evaluator<Derived> thisEval(derived());
  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
  
  internal::evaluator<OtherDerived>  otherEval(other.derived());
  typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0);
 
  Scalar res(0);
  while (i && j)
  {
    if (i.index()==j.index())
    {
      res += numext::conj(i.value()) * j.value();
      ++i; ++j;
    }
    else if (i.index()<j.index())
      ++i;
    else
      ++j;
  }
  return res;
}

References Eigen::SparseMatrixBase< Derived >::derived(), eigen_assert, EIGEN_STATIC_ASSERT, EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE, EIGEN_STATIC_ASSERT_VECTOR_ONLY, and Eigen::SparseMatrixBase< Derived >::size().

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dot() [4/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

endFill()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::endFill ( )

inline

{}

eval()

template<typename Derived >

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

inlineinherited

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.

    { return typename internal::eval<Derived>::type(derived()); }

References Eigen::SparseMatrixBase< Derived >::derived().

Referenced by igl::biharmonic_coordinates().

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evalTo()

template<typename Derived >

template<typename Dest >

void Eigen::SparseMatrixBase< Derived >::evalTo ( Dest &  ) const

privateinherited

fill() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::fill ( Index  i )

inline

    {
      m_data.append(0, i);
      return m_data.value(m_data.size()-1);
    }

fill() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::fill ( Index  r, Index  c  )

inline

    {
      eigen_assert(r==0 || c==0);
      return fill(IsColVector ? r : c);
    }

References eigen_assert.

fillrand() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::fillrand ( Index  i )

inline

    {
      return insert(i);
    }

fillrand() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::fillrand ( Index  r, Index  c  )

inline

    {
      eigen_assert(r==0 || c==0);
      return fillrand(IsColVector ? r : c);
    }

References eigen_assert.

finalize()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::finalize ( )

inline

{}

innerIndexPtr() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::innerIndexPtr ( )

inline

{ return m_data.indexPtr(); }

innerIndexPtr() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE const StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::innerIndexPtr ( ) const

inline

{ return m_data.indexPtr(); }

innerNonZeroPtr() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::innerNonZeroPtr ( )

inline

{ return 0; }

innerNonZeroPtr() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

const StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::innerNonZeroPtr ( ) const

inline

{ return 0; }

innerNonZeros() [1/2]

Eigen::Map< IndexVector > Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::innerNonZeros ( )

inlineprotectedinherited

{ return Eigen::Map<IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }

innerNonZeros() [2/2]

const Eigen::Map< const IndexVector > Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::innerNonZeros ( ) const

inlineprotectedinherited

{ return Eigen::Map<const IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }

innerSize()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::innerSize ( ) const

inline

{ return m_size; }

innerVector() [1/2]

template<typename Derived >

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

inherited

Returns

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

{ return InnerVectorReturnType(derived(), outer); }

innerVector() [2/2]

template<typename Derived >

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

inherited

Returns

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

{ return ConstInnerVectorReturnType(derived(), outer); }

innerVectors() [1/2]

template<typename Derived >

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

inherited

Returns

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

{
  return Block<Derived,Dynamic,Dynamic,true>(derived(),
                                             IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,
                                             IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);
 
}

innerVectors() [2/2]

template<typename Derived >

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

inherited

Returns

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

{
  return Block<const Derived,Dynamic,Dynamic,true>(derived(),
                                                  IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,
                                                  IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);
 
}

insert() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insert ( Index  i )

inline

    {
      eigen_assert(i>=0 && i<m_size);
      
      Index startId = 0;
      Index p = Index(m_data.size()) - 1;
      // TODO smart realloc
      m_data.resize(p+2,1);
 
      while ( (p >= startId) && (m_data.index(p) > i) )
      {
        m_data.index(p+1) = m_data.index(p);
        m_data.value(p+1) = m_data.value(p);
        --p;
      }
      m_data.index(p+1) = convert_index(i);
      m_data.value(p+1) = 0;
      return m_data.value(p+1);
    }

References eigen_assert.

insert() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insert ( Index  row, Index  col  )

inline

    {
      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
      
      Index inner = IsColVector ? row : col;
      Index outer = IsColVector ? col : row;
      EIGEN_ONLY_USED_FOR_DEBUG(outer);
      eigen_assert(outer==0);
      return insert(inner);
    }

References col(), eigen_assert, EIGEN_ONLY_USED_FOR_DEBUG, and row().

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insertBack()

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insertBack ( Index  i )

inline

    {
      m_data.append(0, i);
      return m_data.value(m_data.size()-1);
    }

insertBackByOuterInner()

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insertBackByOuterInner ( Index  outer, Index  inner  )

inline

    {
      EIGEN_UNUSED_VARIABLE(outer);
      eigen_assert(outer==0);
      return insertBack(inner);
    }

References eigen_assert, and EIGEN_UNUSED_VARIABLE.

insertBackByOuterInnerUnordered()

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insertBackByOuterInnerUnordered ( Index  outer, Index  inner  )

inline

    {
      EIGEN_UNUSED_VARIABLE(outer);
      eigen_assert(outer==0);
      return insertBackUnordered(inner);
    }

References eigen_assert, and EIGEN_UNUSED_VARIABLE.

insertBackUnordered()

template<typename _Scalar , int _Options, typename _StorageIndex >

Scalar & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::insertBackUnordered ( Index  i )

inline

    {
      m_data.append(0, i);
      return m_data.value(m_data.size()-1);
    }

isApprox() [1/2]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

    { return toDense().isApprox(other,prec); }

References Eigen::SparseMatrixBase< Derived >::toDense().

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isApprox() [2/2]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  const typename internal::nested_eval<Derived,2,PlainObject>::type actualA(derived());
  typename internal::conditional<bool(IsRowMajor)==bool(OtherDerived::IsRowMajor),
    const typename internal::nested_eval<OtherDerived,2,PlainObject>::type,
    const PlainObject>::type actualB(other.derived());
 
  return (actualA - actualB).squaredNorm() <= prec * prec * numext::mini(actualA.squaredNorm(), actualB.squaredNorm());
}

References Eigen::SparseMatrixBase< Derived >::derived(), and Eigen::numext::mini().

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isCompressed()

bool Eigen::SparseCompressedBase< SparseVector< _Scalar, _Options, _StorageIndex > >::isCompressed ( ) const

inlineinherited

Returns

whether *this is in compressed form.

{ return innerNonZeroPtr()==0; }

isRValue()

template<typename Derived >

bool Eigen::SparseMatrixBase< Derived >::isRValue ( ) const

inlineinherited

{ return m_isRValue; }

References Eigen::SparseMatrixBase< Derived >::m_isRValue.

Referenced by Eigen::DynamicSparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator=(), and Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=().

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isVector()

template<typename Derived >

bool Eigen::SparseMatrixBase< Derived >::isVector ( ) const

inlineinherited

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.

{ return rows()==1 || cols()==1; }

References Eigen::SparseMatrixBase< Derived >::cols(), and Eigen::SparseMatrixBase< Derived >::rows().

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markAsRValue()

template<typename Derived >

Derived & Eigen::SparseMatrixBase< Derived >::markAsRValue ( )

inlineinherited

{ m_isRValue = true; return derived(); }

References Eigen::SparseMatrixBase< Derived >::derived(), and Eigen::SparseMatrixBase< Derived >::m_isRValue.

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nonZeros()

template<typename _Scalar , int _Options, typename _StorageIndex >

Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::nonZeros ( ) const

inline

Returns

the number of non zero coefficients

{ return m_data.size(); }

Referenced by igl::invert_diag().

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norm()

template<typename Derived >

NumTraits< typenameinternal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase< Derived >::norm

inlineinherited

{
  using std::sqrt;
  return sqrt(squaredNorm());
}

References sqrt().

Referenced by Eigen::SPQR< _MatrixType >::compute(), and Eigen::MatrixMarketIterator< Scalar >::matrix().

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operator*() [1/3]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

    { return Product<Derived,OtherDerived>(derived(), other.derived()); }

References Eigen::DiagonalBase< Derived >::derived(), and Eigen::SparseMatrixBase< Derived >::derived().

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operator*() [2/3]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

    { return Product<Derived,OtherDerived>(derived(), other.derived()); }

References Eigen::SparseMatrixBase< Derived >::derived().

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operator*() [3/3]

template<typename Derived >

template<typename OtherDerived >

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

inlineinherited

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.

{
  return Product<Derived,OtherDerived,AliasFreeProduct>(derived(), other.derived());
}

References Eigen::SparseMatrixBase< Derived >::derived().

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operator*=() [1/2]

template<typename Derived >

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

inherited

{
  typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
  internal::evaluator<Derived> thisEval(derived());
  for (Index j=0; j<outerSize(); ++j)
    for (EvalIterator i(thisEval,j); i; ++i)
      i.valueRef() *= other;
  return derived();
}

operator*=() [2/2]

template<typename Derived >

template<typename OtherDerived >

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

inherited

operator+=() [1/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  call_assignment_no_alias(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

References Eigen::DiagonalBase< Derived >::derived().

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operator+=() [2/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

References Eigen::EigenBase< Derived >::derived().

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operator+=() [3/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  return derived() = derived() + other.derived();
}

References Eigen::SparseMatrixBase< Derived >::derived().

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operator+=() [4/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

operator-=() [1/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

References Eigen::DiagonalBase< Derived >::derived().

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operator-=() [2/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  call_assignment(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
  return derived();
}

References Eigen::EigenBase< Derived >::derived().

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operator-=() [3/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

{
  return derived() = derived() - other.derived();
}

References Eigen::SparseMatrixBase< Derived >::derived().

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operator-=() [4/4]

template<typename Derived >

template<typename OtherDerived >

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

inherited

operator/=()

template<typename Derived >

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

inherited

{
  typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
  internal::evaluator<Derived> thisEval(derived());
  for (Index j=0; j<outerSize(); ++j)
    for (EvalIterator i(thisEval,j); i; ++i)
      i.valueRef() /= other;
  return derived();
}

operator=() [1/3]

template<typename _Scalar , int _Options, typename _StorageIndex >

template<typename OtherDerived >

SparseVector & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator= ( const SparseMatrixBase< OtherDerived > &  other )

inline

    {
      SparseVector tmp(other.size());
      internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
      this->swap(tmp);
      return *this;
    }

References Eigen::SparseMatrixBase< Derived >::derived(), and Eigen::SparseMatrixBase< Derived >::size().

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operator=() [2/3]

template<typename _Scalar , int _Options, typename _StorageIndex >

template<typename Lhs , typename Rhs >

SparseVector & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator= ( const SparseSparseProduct< Lhs, Rhs > &  product )

inline

    {
      return Base::operator=(product);
    }

operator=() [3/3]

template<typename _Scalar , int _Options, typename _StorageIndex >

SparseVector & Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator= ( const SparseVector< _Scalar, _Options, _StorageIndex > &  other )

inline

    {
      if (other.isRValue())
      {
        swap(other.const_cast_derived());
      }
      else
      {
        resize(other.size());
        m_data = other.m_data;
      }
      return *this;
    }

References Eigen::SparseMatrixBase< Derived >::const_cast_derived(), Eigen::SparseMatrixBase< Derived >::isRValue(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::m_data, and Eigen::SparseMatrixBase< Derived >::size().

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outerIndexPtr() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::outerIndexPtr ( )

inline

{ return 0; }

outerIndexPtr() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

const StorageIndex * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::outerIndexPtr ( ) const

inline

{ return 0; }

outerSize()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::outerSize ( ) const

inline

{ return 1; }

prune()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::prune ( const Scalar &  reference, const RealScalar &  epsilon = NumTraits<RealScalar>::dummy_precision()  )

inline

Suppresses all nonzeros which are much smaller than reference under the tolerence epsilon

    {
      m_data.prune(reference,epsilon);
    }

pruned()

template<typename Derived >

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

inlineinherited

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.

{
  return SparseView<Derived>(derived(), reference, epsilon);
}

reserve()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::reserve ( Index  reserveSize )

inline

{ m_data.reserve(reserveSize); }

resize() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::resize ( Index  newSize )

inline

Resizes the sparse vector to newSize This method deletes all entries, thus leaving an empty sparse vector

See also

conservativeResize(), setZero()

    {
      m_size = newSize;
      m_data.clear();
    }

resize() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::resize ( Index  rows, Index  cols  )

inline

Resizes the sparse vector to rows x cols

This method is provided for compatibility with matrices. For a column vector, cols must be equal to 1. For a row vector, rows must be equal to 1.

See also

resize(Index)

    {
      eigen_assert((IsColVector ? cols : rows)==1 && "Outer dimension must equal 1");
      resize(IsColVector ? rows : cols);
    }

References eigen_assert.

resizeNonZeros()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::resizeNonZeros ( Index  size )

inline

{ m_data.resize(size); }

rows()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::rows ( ) const

inline

{ return IsColVector ? m_size : 1; }

selfadjointView() [1/4]

template<typename Derived >

template<unsigned int UpLo>

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

inlineinherited

selfadjointView() [2/4]

template<typename Derived >

template<unsigned int UpLo>

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

inherited

{
  return SparseSelfAdjointView<Derived, UpLo>(derived());
}

References Eigen::EigenBase< SparseSelfAdjointView< MatrixType, _Mode > >::derived().

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selfadjointView() [3/4]

template<typename Derived >

template<unsigned int UpLo>

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

inlineinherited

selfadjointView() [4/4]

template<typename Derived >

template<unsigned int UpLo>

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

inherited

{
  return SparseSelfAdjointView<const Derived, UpLo>(derived());
}

References Eigen::EigenBase< SparseSelfAdjointView< MatrixType, _Mode > >::derived().

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setZero()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::setZero ( )

inline

{ m_data.clear(); }

size()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::size ( ) const

inlineinherited

Returns

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

See also

rows(), cols().

{ return rows() * cols(); }

References Eigen::SparseMatrixBase< Derived >::cols(), and Eigen::SparseMatrixBase< Derived >::rows().

Referenced by igl::active_set(), igl::cat(), igl::diag(), Eigen::SparseMatrixBase< Derived >::dot(), Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::finalize(), igl::invert_diag(), igl::min_quad_with_fixed_precompute(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=(), Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=(), and Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::resizeNonZeros().

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squaredNorm()

template<typename Derived >

NumTraits< typenameinternal::traits< Derived >::Scalar >::Real Eigen::SparseMatrixBase< Derived >::squaredNorm

inlineinherited

{
  return numext::real((*this).cwiseAbs2().sum());
}

startFill()

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_DEPRECATED void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::startFill ( Index  reserve )

inline

    {
      setZero();
      m_data.reserve(reserve);
    }

startVec()

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::startVec ( Index  outer )

inline

    {
      EIGEN_UNUSED_VARIABLE(outer);
      eigen_assert(outer==0);
    }

References eigen_assert, and EIGEN_UNUSED_VARIABLE.

subTo()

template<typename Derived >

template<typename Dest >

EIGEN_DEVICE_FUNC void Eigen::EigenBase< Derived >::subTo ( Dest &  dst ) const

inlineinherited

  {
    // This is the default implementation,
    // derived class can reimplement it in a more optimized way.
    typename Dest::PlainObject res(rows(),cols());
    evalTo(res);
    dst -= res;
  }

References Eigen::EigenBase< Derived >::cols(), Eigen::EigenBase< Derived >::evalTo(), and Eigen::EigenBase< Derived >::rows().

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sum()

template<typename _Scalar , int _Options, typename _Index >

internal::traits< SparseVector< _Scalar, _Options, _Index > >::Scalar Eigen::SparseVector< _Scalar, _Options, _Index >::sum

Overloaded for performance

{
  eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
  return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
}

References Eigen::PlainObjectBase< Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Eigen::Map, and eigen_assert.

swap() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

template<int OtherOptions>

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::swap ( SparseMatrix< Scalar, OtherOptions, StorageIndex > &  other )

inline

    {
      eigen_assert(other.outerSize()==1);
      std::swap(m_size, other.m_innerSize);
      m_data.swap(other.m_data);
    }

References eigen_assert, Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::m_data, Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::m_innerSize, and Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::outerSize().

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swap() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

void Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::swap ( SparseVector< _Scalar, _Options, _StorageIndex > &  other )

inline

Swaps the values of *this and other. Overloaded for performance: this version performs a shallow swap by swaping pointers and attributes only.

See also

SparseMatrixBase::swap()

    {
      std::swap(m_size, other.m_size);
      m_data.swap(other.m_data);
    }

References Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::m_data, and Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::m_size.

toDense()

template<typename Derived >

DenseMatrixType Eigen::SparseMatrixBase< Derived >::toDense ( ) const

inlineinherited

    {
      return DenseMatrixType(derived());
    }

References Eigen::SparseMatrixBase< Derived >::derived().

Referenced by Eigen::SparseMatrixBase< Derived >::isApprox().

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transpose() [1/2]

template<typename Derived >

TransposeReturnType Eigen::SparseMatrixBase< Derived >::transpose ( )

inlineinherited

{ return TransposeReturnType(derived()); }

References Eigen::SparseMatrixBase< Derived >::derived().

Referenced by Eigen::SparseMatrixBase< Derived >::adjoint(), Eigen::IncompleteLUT< _Scalar, _StorageIndex >::analyzePattern(), igl::arap_dof_precomputation(), igl::AtA_cached_precompute(), igl::slim::build_linear_system(), igl::copyleft::comiso::PoissonSolver< DerivedV, DerivedF >::BuildLaplacianMatrix(), Eigen::PastixLU< _MatrixType, IsStrSym >::grabMatrix(), igl::hessian(), igl::hessian_energy(), igl::min_quad_with_fixed_precompute(), igl::mosek::mosek_quadprog(), igl::orientable_patches(), igl::shapeup_precomputation(), and igl::straighten_seams().

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transpose() [2/2]

template<typename Derived >

const ConstTransposeReturnType Eigen::SparseMatrixBase< Derived >::transpose ( ) const

inlineinherited

{ return ConstTransposeReturnType(derived()); }

References Eigen::SparseMatrixBase< Derived >::derived().

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triangularView()

template<typename Derived >

template<int Mode>

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

inlineinherited

{
  return TriangularView<const Derived, Mode>(derived());
}

Referenced by igl::mosek::mosek_quadprog().

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twistedBy()

template<typename Derived >

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

inlineinherited

Returns

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

    {
      return SparseSymmetricPermutationProduct<Derived,Upper|Lower>(derived(), perm);
    }

References Eigen::SparseMatrixBase< Derived >::derived().

Referenced by Eigen::IncompleteLUT< _Scalar, _StorageIndex >::factorize(), Eigen::IncompleteCholesky< Scalar, _UpLo, _OrderingType >::factorize(), Eigen::PardisoLLT< MatrixType, _UpLo >::getMatrix(), and Eigen::PardisoLDLT< MatrixType, Options >::getMatrix().

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valuePtr() [1/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE Scalar * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::valuePtr ( )

inline

{ return m_data.valuePtr(); }

valuePtr() [2/2]

template<typename _Scalar , int _Options, typename _StorageIndex >

EIGEN_STRONG_INLINE const Scalar * Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::valuePtr ( ) const

inline

{ return m_data.valuePtr(); }

Friends And Related Symbol Documentation

operator<<

template<typename _Scalar , int _Options, typename _StorageIndex >

std::ostream & operator<< ( std::ostream &  s, const SparseVector< _Scalar, _Options, _StorageIndex > &  m  )

friend

    {
      for (Index i=0; i<m.nonZeros(); ++i)
        s << "(" << m.m_data.value(i) << "," << m.m_data.index(i) << ") ";
      s << std::endl;
      return s;
    }

Member Data Documentation

m_data

template<typename _Scalar , int _Options, typename _StorageIndex >

Storage Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::m_data

protected

Referenced by Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::operator=(), and Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::swap().

m_isRValue

template<typename Derived >

bool Eigen::SparseMatrixBase< Derived >::m_isRValue

protectedinherited

Referenced by Eigen::SparseMatrixBase< Derived >::isRValue(), and Eigen::SparseMatrixBase< Derived >::markAsRValue().

m_size

template<typename _Scalar , int _Options, typename _StorageIndex >

Index Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::m_size

protected

Referenced by Eigen::SparseVector< _Scalar, _Options, _StorageIndex >::swap().

---

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

• src/eigen/Eigen/src/SparseCore/SparseUtil.h
• src/eigen/Eigen/src/SparseCore/SparseVector.h
• src/eigen/Eigen/src/SparseCore/SparseRedux.h