DynamicSparseMatrix< _Scalar, _Options, _Index

A sparse matrix class designed for matrix assembly purpose. More...

#include <DynamicSparseMatrix.h>

Public Types
enum	{ Options }

typedef MappedSparseMatrix< Scalar, Flags >	Map

Public Member Functions
std::vector< internal::CompressedStorage< Scalar, Index > > &	_data ()

const std::vector< internal::CompressedStorage< Scalar, Index > > &	_data () const

Scalar	coeff (Index row, Index col) const

Scalar &	coeffRef (Index row, Index col)

Index	cols () const

EIGEN_DEPRECATED	DynamicSparseMatrix ()

	DynamicSparseMatrix (const DynamicSparseMatrix &other)

template<typename OtherDerived>
EIGEN_DEPRECATED	DynamicSparseMatrix (const SparseMatrixBase< OtherDerived > &other)

EIGEN_DEPRECATED	DynamicSparseMatrix (Index rows, Index cols)

EIGEN_DEPRECATED void	endFill ()

EIGEN_DEPRECATED Scalar &	fill (Index row, Index col)

EIGEN_DEPRECATED Scalar &	fillrand (Index row, Index col)

void	finalize ()

Index	innerNonZeros (Index j) const

Index	innerSize () const

Scalar &	insert (Index row, Index col)

Scalar &	insertBack (Index row, Index col)

Scalar &	insertBackByOuterInner (Index outer, Index inner)

Index	nonZeros () const

DynamicSparseMatrix &	operator= (const DynamicSparseMatrix &other)

Index	outerSize () const

void	prune (Scalar reference, RealScalar epsilon=NumTraits< RealScalar >::dummy_precision())

void	reserve (Index reserveSize=1000)

void	resize (Index rows, Index cols)

void	resizeAndKeepData (Index rows, Index cols)

Index	rows () const

void	setZero ()

EIGEN_DEPRECATED void	startFill (Index reserveSize=1000)

void	startVec (Index)

void	swap (DynamicSparseMatrix &other)

	~DynamicSparseMatrix ()

Public Member Functions inherited from SparseMatrixBase< DynamicSparseMatrix< _Scalar, _Options, _Index > >
const CwiseBinaryOp< CustomBinaryOp, const Derived, const OtherDerived >	binaryExpr (const Eigen::SparseMatrixBase< OtherDerived > &other, const CustomBinaryOp &func=CustomBinaryOp()) const

internal::cast_return_type< Derived, constCwiseUnaryOp< internal::scalar_cast_op< typenameinternal::traits< Derived >::Scalar, NewType >, constDerived > >::type	cast () const

SparseInnerVectorSet< Derived, 1 >	col (Index j)

const SparseInnerVectorSet< Derived, 1 >	col (Index j) const

Index	cols () const

ConjugateReturnType	conjugate () const

const CwiseUnaryOp< internal::scalar_abs_op< Scalar >, const Derived >	cwiseAbs () const

const CwiseUnaryOp< internal::scalar_abs2_op< Scalar >, const Derived >	cwiseAbs2 () const

const CwiseUnaryOp< std::binder1st< std::equal_to< Scalar > >, const Derived >	cwiseEqual (const Scalar &s) const

const CwiseUnaryOp< internal::scalar_inverse_op< Scalar >, const Derived >	cwiseInverse () const

const CwiseUnaryOp< internal::scalar_sqrt_op< Scalar >, const Derived >	cwiseSqrt () const

Derived &	derived ()

const Derived &	derived () const

const	EIGEN_CWISE_PRODUCT_RETURN_TYPE (Derived, OtherDerived) cwiseProduct(const Eigen

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

NonConstImagReturnType	imag ()

const ImagReturnType	imag () const

SparseInnerVectorSet< Derived, 1 >	innerVector (Index outer)

const SparseInnerVectorSet< Derived, 1 >	innerVector (Index outer) const

SparseInnerVectorSet< Derived, Dynamic >	innerVectors (Index outerStart, Index outerSize)

const SparseInnerVectorSet< Derived, Dynamic >	innerVectors (Index outerStart, Index outerSize) const

SparseInnerVectorSet< Derived, Dynamic >	middleCols (Index start, Index size)

const SparseInnerVectorSet< Derived, Dynamic >	middleCols (Index start, Index size) const

SparseInnerVectorSet< Derived, Dynamic >	middleRows (Index start, Index size)

const SparseInnerVectorSet< Derived, Dynamic >	middleRows (Index start, Index size) const

const SparseDenseProductReturnType< Derived, OtherDerived >::Type	operator* (const MatrixBase< OtherDerived > &other) const

const ScalarMultipleReturnType	operator* (const Scalar &scalar) const

const SparseSparseProductReturnType< Derived, OtherDerived >::Type	operator* (const SparseMatrixBase< OtherDerived > &other) const

const CwiseUnaryOp< internal::scalar_multiple2_op< Scalar, std::complex< Scalar > >, const Derived >	operator* (const std::complex< Scalar > &scalar) const

const CwiseUnaryOp< internal::scalar_opposite_op< typename internal::traits< Derived >::Scalar >, const Derived >	operator- () const

const CwiseUnaryOp< internal::scalar_quotient1_op< typename internal::traits< Derived >::Scalar >, const Derived >	operator/ (const Scalar &scalar) const

NonConstRealReturnType	real ()

RealReturnType	real () const

SparseInnerVectorSet< Derived, 1 >	row (Index i)

const SparseInnerVectorSet< Derived, 1 >	row (Index i) const

Index	rows () const

Index	size () const

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

const CwiseUnaryOp< CustomUnaryOp, const Derived >	unaryExpr (const CustomUnaryOp &func=CustomUnaryOp()) const

const CwiseUnaryView< CustomViewOp, const Derived >	unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const

Public Member Functions inherited from EigenBase< Derived >
Index	cols () const

Derived &	derived ()

const Derived &	derived () const

Index	rows () const

Index	size () const

Protected Types
typedef DynamicSparseMatrix< Scalar,(Flags &~RowMajorBit)\|(IsRowMajor?RowMajorBit:0)>	TransposedSparseMatrix

Protected Attributes
std::vector< internal::CompressedStorage< Scalar, Index > >	m_data

Index	m_innerSize

Additional Inherited Members
Public Attributes inherited from SparseMatrixBase< DynamicSparseMatrix< _Scalar, _Options, _Index > >
	CoeffReadCost

	ColsAtCompileTime

	Flags

	IsVectorAtCompileTime

	RowsAtCompileTime

	SizeAtCompileTime

Detailed Description

template<typename _Scalar, int _Options, typename _Index>
class Eigen::DynamicSparseMatrix< _Scalar, _Options, _Index >

A sparse matrix class designed for matrix assembly purpose.

Parameters

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

Unlike SparseMatrix, this class provides a much higher degree of flexibility. In particular, it allows random read/write accesses in log(rho*outer_size) where rho is the probability that a coefficient is nonzero and outer_size is the number of columns if the matrix is column-major and the number of rows otherwise.

Internally, the data are stored as a std::vector of compressed vector. The performances of random writes might decrease as the number of nonzeros per inner-vector increase. In practice, we observed very good performance till about 100 nonzeros/vector, and the performance remains relatively good till 500 nonzeros/vectors.

See also: SparseMatrix

Constructor & Destructor Documentation

◆ DynamicSparseMatrix() [1/3]

template<typename _Scalar, int _Options, typename _Index>

EIGEN_DEPRECATED DynamicSparseMatrix ( )

inline

The class DynamicSparseMatrix is deprectaed

◆ DynamicSparseMatrix() [2/3]

template<typename _Scalar, int _Options, typename _Index>

EIGEN_DEPRECATED DynamicSparseMatrix	(	Index	rows,
		Index	cols )

inline

The class DynamicSparseMatrix is deprectaed

◆ DynamicSparseMatrix() [3/3]

template<typename _Scalar, int _Options, typename _Index>

template<typename OtherDerived>

EIGEN_DEPRECATED DynamicSparseMatrix ( const SparseMatrixBase< OtherDerived > & other )

inlineexplicit

The class DynamicSparseMatrix is deprectaed