Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols > Class Template Reference

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

Inheritance diagram for Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >:

Collaboration diagram for Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >:

Public Types
enum	{ IsRowMajor = internal::traits<BlockType>::IsRowMajor }
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
	sparse_matrix_block_impl (SparseMatrixType &xpr, Index i)
	sparse_matrix_block_impl (SparseMatrixType &xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
template<typename OtherDerived >
BlockType &	operator= (const SparseMatrixBase< OtherDerived > &other)
BlockType &	operator= (const BlockType &other)
const Scalar *	valuePtr () const
Scalar *	valuePtr ()
const StorageIndex *	innerIndexPtr () const
StorageIndex *	innerIndexPtr ()
const StorageIndex *	outerIndexPtr () const
StorageIndex *	outerIndexPtr ()
const StorageIndex *	innerNonZeroPtr () const
StorageIndex *	innerNonZeroPtr ()
bool	isCompressed () const
Scalar &	coeffRef (Index row, Index col)
const Scalar	coeff (Index row, Index col) const
const Scalar	coeff (Index index) const
const Scalar &	lastCoeff () const
EIGEN_STRONG_INLINE Index	rows () const
EIGEN_STRONG_INLINE Index	cols () const
const SparseMatrixType &	nestedExpression () const
SparseMatrixType &	nestedExpression ()
Index	startRow () const
Index	startCol () const
Index	blockRows () const
Index	blockCols () const
Index	nonZeros () 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
Index	outerSize () const
Index	innerSize () 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
Scalar	sum () 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
enum	{ OuterSize = IsRowMajor ? BlockRows : BlockCols }
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 StorageIndex	convert_index (const Index idx)

Protected Attributes
internal::ref_selector< SparseMatrixType >::non_const_type	m_matrix
Index	m_outerStart
const internal::variable_if_dynamic< Index, OuterSize >	m_outerSize
bool	m_isRValue

Private Types
typedef internal::remove_all< typenameSparseMatrixType::Nested >::type	_MatrixTypeNested
typedef Block< SparseMatrixType, BlockRows, BlockCols, true >	BlockType
typedef SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >	Base

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

Detailed Description

template<typename SparseMatrixType, int BlockRows, int BlockCols>
class Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >

Member Typedef Documentation

_MatrixTypeNested

template<typename SparseMatrixType , int BlockRows, int BlockCols>

typedef internal::remove_all<typenameSparseMatrixType::Nested>::type Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::_MatrixTypeNested

private

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 SparseMatrixType , int BlockRows, int BlockCols>

typedef SparseCompressedBase<Block<SparseMatrixType,BlockRows,BlockCols,true> > Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::Base

private

BlockType

template<typename SparseMatrixType , int BlockRows, int BlockCols>

typedef Block<SparseMatrixType, BlockRows, BlockCols, true> Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::BlockType

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

template<typename SparseMatrixType , int BlockRows, int BlockCols>

typedef Base::IndexVector Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IndexVector

protected

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

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

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 SparseMatrixType , int BlockRows, int BlockCols>

anonymous enum

Enumerator
IsRowMajor

{ IsRowMajor = internal::traits<BlockType>::IsRowMajor };

anonymous enum

template<typename SparseMatrixType , int BlockRows, int BlockCols>

anonymous enum

protected

Enumerator
OuterSize

{ OuterSize = IsRowMajor ? BlockRows : BlockCols };

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
    };

Constructor & Destructor Documentation

sparse_matrix_block_impl() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::sparse_matrix_block_impl ( SparseMatrixType &  xpr, Index  i  )

inline

      : m_matrix(xpr), m_outerStart(convert_index(i)), m_outerSize(OuterSize)
    {}

sparse_matrix_block_impl() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::sparse_matrix_block_impl ( SparseMatrixType &  xpr, Index  startRow, Index  startCol, Index  blockRows, Index  blockCols  )

inline

      : m_matrix(xpr), m_outerStart(convert_index(IsRowMajor ? startRow : startCol)), m_outerSize(convert_index(IsRowMajor ? blockRows : blockCols))
    {}

Member Function Documentation

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

blockCols()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockCols ( ) const

inline

{ return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize, and Eigen::internal::variable_if_dynamic< T, Value >::value().

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blockRows()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockRows ( ) const

inline

{ return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize, and Eigen::internal::variable_if_dynamic< T, Value >::value().

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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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coeff() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const Scalar Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff ( Index  index ) const

inline

    {
      return m_matrix.coeff(IsRowMajor ? m_outerStart : index, IsRowMajor ? index :  m_outerStart);
    }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

coeff() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const Scalar Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff ( Index  row, Index  col  ) const

inline

    {
      return m_matrix.coeff(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 :  m_outerStart));
    }

References col(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart, and row().

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coeffRef()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Scalar & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeffRef ( Index  row, Index  col  )

inline

    {
      return m_matrix.coeffRef(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 :  m_outerStart));
    }

References col(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart, and row().

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coeffs() [1/2]

Map< Array< Scalar, Dynamic, 1 > > Eigen::SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >::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< Block< SparseMatrixType, BlockRows, BlockCols, true > >::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 SparseMatrixType , int BlockRows, int BlockCols>

EIGEN_STRONG_INLINE Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::cols ( ) const

inline

{ return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize, and Eigen::internal::variable_if_dynamic< T, Value >::value().

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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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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

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

innerIndexPtr() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerIndexPtr ( )

inline

    { return m_matrix.innerIndexPtr(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

innerIndexPtr() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerIndexPtr ( ) const

inline

    { return m_matrix.innerIndexPtr(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

innerNonZeroPtr() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr ( )

inline

    { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::isCompressed(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

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innerNonZeroPtr() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr ( ) const

inline

    { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::isCompressed(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

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innerNonZeros() [1/2]

Eigen::Map< IndexVector > Eigen::SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >::innerNonZeros ( )

inlineprotectedinherited

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

innerNonZeros() [2/2]

const Eigen::Map< const IndexVector > Eigen::SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >::innerNonZeros ( ) const

inlineprotectedinherited

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

innerSize()

template<typename Derived >

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

inlineinherited

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

{ return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); }

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

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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);
 
}

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()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

bool Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::isCompressed ( ) const

inline

{ return m_matrix.innerNonZeroPtr()==0; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

Referenced by Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr(), and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr().

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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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lastCoeff()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const Scalar & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::lastCoeff ( ) const

inline

    {
      EIGEN_STATIC_ASSERT_VECTOR_ONLY(sparse_matrix_block_impl);
      eigen_assert(Base::nonZeros()>0);
      if(m_matrix.isCompressed())
        return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart+1]-1];
      else
        return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart]+m_matrix.innerNonZeroPtr()[m_outerStart]-1];
    }

References eigen_assert, EIGEN_STATIC_ASSERT_VECTOR_ONLY, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart, and Eigen::SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >::nonZeros().

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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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nestedExpression() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

SparseMatrixType & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::nestedExpression ( )

inline

{ return m_matrix; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

nestedExpression() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const SparseMatrixType & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::nestedExpression ( ) const

inline

{ return m_matrix; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

nonZeros()

Index Eigen::SparseCompressedBase< Block< SparseMatrixType, BlockRows, BlockCols, true > >::nonZeros ( ) const

inlineinherited

Returns

the number of non zero coefficients

    {
      if(Derived::IsVectorAtCompileTime && outerIndexPtr()==0)
        return derived().nonZeros();
      else if(isCompressed())
        return outerIndexPtr()[derived().outerSize()]-outerIndexPtr()[0];
      else if(derived().outerSize()==0)
        return 0;
      else
        return innerNonZeros().sum();
    }

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=() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

BlockType & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator= ( const BlockType &  other )

inline

    {
      return operator=<BlockType>(other);
    }

operator=() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

template<typename OtherDerived >

BlockType & Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator= ( const SparseMatrixBase< OtherDerived > &  other )

inline

    {
      typedef typename internal::remove_all<typename SparseMatrixType::Nested>::type _NestedMatrixType;
      _NestedMatrixType& matrix = m_matrix;
      // This assignment is slow if this vector set is not empty
      // and/or it is not at the end of the nonzeros of the underlying matrix.
 
      // 1 - eval to a temporary to avoid transposition and/or aliasing issues
      Ref<const SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, StorageIndex> > tmp(other.derived());
      eigen_internal_assert(tmp.outerSize()==m_outerSize.value());
 
      // 2 - let's check whether there is enough allocated memory
      Index nnz           = tmp.nonZeros();
      Index start         = m_outerStart==0 ? 0 : m_matrix.outerIndexPtr()[m_outerStart]; // starting position of the current block
      Index end           = m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()]; // ending position of the current block
      Index block_size    = end - start;                                                // available room in the current block
      Index tail_size     = m_matrix.outerIndexPtr()[m_matrix.outerSize()] - end;
 
      Index free_size     = m_matrix.isCompressed()
                          ? Index(matrix.data().allocatedSize()) + block_size
                          : block_size;
 
      Index tmp_start = tmp.outerIndexPtr()[0];
 
      bool update_trailing_pointers = false;
      if(nnz>free_size)
      {
        // realloc manually to reduce copies
        typename SparseMatrixType::Storage newdata(m_matrix.data().allocatedSize() - block_size + nnz);
 
        internal::smart_copy(m_matrix.valuePtr(),       m_matrix.valuePtr() + start,      newdata.valuePtr());
        internal::smart_copy(m_matrix.innerIndexPtr(),  m_matrix.innerIndexPtr() + start, newdata.indexPtr());
 
        internal::smart_copy(tmp.valuePtr() + tmp_start,      tmp.valuePtr() + tmp_start + nnz,       newdata.valuePtr() + start);
        internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz,  newdata.indexPtr() + start);
 
        internal::smart_copy(matrix.valuePtr()+end,       matrix.valuePtr()+end + tail_size,      newdata.valuePtr()+start+nnz);
        internal::smart_copy(matrix.innerIndexPtr()+end,  matrix.innerIndexPtr()+end + tail_size, newdata.indexPtr()+start+nnz);
 
        newdata.resize(m_matrix.outerIndexPtr()[m_matrix.outerSize()] - block_size + nnz);
 
        matrix.data().swap(newdata);
 
        update_trailing_pointers = true;
      }
      else
      {
        if(m_matrix.isCompressed())
        {
          // no need to realloc, simply copy the tail at its respective position and insert tmp
          matrix.data().resize(start + nnz + tail_size);
 
          internal::smart_memmove(matrix.valuePtr()+end,      matrix.valuePtr() + end+tail_size,      matrix.valuePtr() + start+nnz);
          internal::smart_memmove(matrix.innerIndexPtr()+end, matrix.innerIndexPtr() + end+tail_size, matrix.innerIndexPtr() + start+nnz);
 
          update_trailing_pointers = true;
        }
 
        internal::smart_copy(tmp.valuePtr() + tmp_start,      tmp.valuePtr() + tmp_start + nnz,       matrix.valuePtr() + start);
        internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz,  matrix.innerIndexPtr() + start);
      }
 
      // update outer index pointers and innerNonZeros
      if(IsVectorAtCompileTime)
      {
        if(!m_matrix.isCompressed())
          matrix.innerNonZeroPtr()[m_outerStart] = StorageIndex(nnz);
        matrix.outerIndexPtr()[m_outerStart] = StorageIndex(start);
      }
      else
      {
        StorageIndex p = StorageIndex(start);
        for(Index k=0; k<m_outerSize.value(); ++k)
        {
          StorageIndex nnz_k = internal::convert_index<StorageIndex>(tmp.innerVector(k).nonZeros());
          if(!m_matrix.isCompressed())
            matrix.innerNonZeroPtr()[m_outerStart+k] = nnz_k;
          matrix.outerIndexPtr()[m_outerStart+k] = p;
          p += nnz_k;
        }
      }
 
      if(update_trailing_pointers)
      {
        StorageIndex offset = internal::convert_index<StorageIndex>(nnz - block_size);
        for(Index k = m_outerStart + m_outerSize.value(); k<=matrix.outerSize(); ++k)
        {
          matrix.outerIndexPtr()[k] += offset;
        }
      }
 
      return derived();
    }

References Eigen::SparseMatrixBase< Derived >::derived(), eigen_internal_assert, Eigen::end(), Eigen::SparseMatrixBase< Derived >::IsVectorAtCompileTime, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart, Eigen::internal::smart_copy(), Eigen::internal::smart_memmove(), and Eigen::internal::variable_if_dynamic< T, Value >::value().

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outerIndexPtr() [1/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr ( )

inline

    { return m_matrix.outerIndexPtr() + m_outerStart; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

outerIndexPtr() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const StorageIndex * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr ( ) const

inline

    { return m_matrix.outerIndexPtr() + m_outerStart; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

outerSize()

template<typename Derived >

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

inlineinherited

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

{ return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); }

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

Referenced by Eigen::SparseCompressedBase< Derived >::nonZeros().

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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);
}

rows()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

EIGEN_STRONG_INLINE Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::rows ( ) const

inline

{ return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix, Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize, and Eigen::internal::variable_if_dynamic< T, Value >::value().

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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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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());
}

startCol()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::startCol ( ) const

inline

{ return IsRowMajor ? 0 : m_outerStart; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

startRow()

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::startRow ( ) const

inline

{ return IsRowMajor ? m_outerStart : 0; }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::IsRowMajor, and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart.

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 Derived >

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

inherited

{
  eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
  Scalar res(0);
  internal::evaluator<Derived> thisEval(derived());
  for (Index j=0; j<outerSize(); ++j)
    for (typename internal::evaluator<Derived>::InnerIterator iter(thisEval,j); iter; ++iter)
      res += iter.value();
  return res;
}

References eigen_assert.

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 SparseMatrixType , int BlockRows, int BlockCols>

Scalar * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::valuePtr ( )

inline

    { return m_matrix.valuePtr(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

valuePtr() [2/2]

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const Scalar * Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::valuePtr ( ) const

inline

    { return m_matrix.valuePtr(); }

References Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix.

Member Data Documentation

m_isRValue

template<typename Derived >

bool Eigen::SparseMatrixBase< Derived >::m_isRValue

protectedinherited

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

m_matrix

template<typename SparseMatrixType , int BlockRows, int BlockCols>

internal::ref_selector<SparseMatrixType>::non_const_type Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_matrix

protected

Referenced by Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockCols(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockRows(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeffRef(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::cols(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::isCompressed(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::lastCoeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::nestedExpression(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::nestedExpression(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator=(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::rows(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::valuePtr(), and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::valuePtr().

m_outerSize

template<typename SparseMatrixType , int BlockRows, int BlockCols>

const internal::variable_if_dynamic<Index, OuterSize> Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerSize

protected

Referenced by Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockCols(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::blockRows(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::cols(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator=(), and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::rows().

m_outerStart

template<typename SparseMatrixType , int BlockRows, int BlockCols>

Index Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::m_outerStart

protected

Referenced by Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::coeffRef(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::innerNonZeroPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::lastCoeff(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::operator=(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::outerIndexPtr(), Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::startCol(), and Eigen::internal::sparse_matrix_block_impl< SparseMatrixType, BlockRows, BlockCols >::startRow().

---

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

• src/eigen/Eigen/src/SparseCore/SparseBlock.h