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Eigen::SparseMatrixBase

template<typename Derived>
class Eigen::SparseMatrixBase< Derived >

Base class of any sparse matrices or sparse expressions.

Template Parameters

Derived

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

This class can be extended with the help of the plugin mechanism described on the page Extending MatrixBase (and other classes) by defining the preprocessor symbol EIGEN_SPARSEMATRIXBASE_PLUGIN.


enum	{ RowsAtCompileTime , ColsAtCompileTime , SizeAtCompileTime , MaxRowsAtCompileTime , MaxColsAtCompileTime , MaxSizeAtCompileTime , IsVectorAtCompileTime , NumDimensions , Flags , IsRowMajor , InnerSizeAtCompileTime }

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

typedef Scalar	value_type

Public Types inherited from Eigen::EigenBase< Derived >
typedef Eigen::Index	Index
	The interface type of indices. More...


Index	cols () const

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

Index	innerSize () const

bool	isVector () const

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

Index	outerSize () const

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

Index	rows () const

Index	size () const

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

Public Member Functions inherited from Eigen::EigenBase< Derived >
EIGEN_CONSTEXPR Index	cols () const EIGEN_NOEXCEPT

Derived &	derived ()

const Derived &	derived () const

EIGEN_CONSTEXPR Index	rows () const EIGEN_NOEXCEPT

EIGEN_CONSTEXPR Index	size () const EIGEN_NOEXCEPT

StorageIndex

template<typename Derived >

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

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

value_type

template<typename Derived >

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

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

It is an alias for the Scalar type

anonymous enum

template<typename Derived >

anonymous enum

Enumerator
RowsAtCompileTime	The number of rows at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime
ColsAtCompileTime	The number of columns at compile-time. This is just a copy of the value provided by the Derived type. If a value is not known at compile-time, it is set to the Dynamic constant. See also MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime
SizeAtCompileTime	This is equal to the number of coefficients, i.e. the number of rows times the number of columns, or to Dynamic if this is not known at compile-time. See also RowsAtCompileTime, ColsAtCompileTime
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).
NumDimensions	This value is equal to Tensor::NumDimensions, i.e. 0 for scalars, 1 for vectors, and 2 for matrices.
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.

cols()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::cols

(

void

)

const

inline

Returns: the number of columns.

See also: rows()

eval()

template<typename Derived >

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

(

)

const

inline

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

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

innerSize()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::innerSize

(

)

const

inline

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

isVector()

template<typename Derived >

bool Eigen::SparseMatrixBase< Derived >::isVector

(

)

const

inline

Returns

true if either the number of rows or the number of columns is equal to 1. In other words, this function returns

rows()==1 || cols()==1

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

operator*()

template<typename Derived >

template<typename OtherDerived >

const Product< Derived, OtherDerived, AliasFreeProduct > Eigen::SparseMatrixBase< Derived >::operator*

(

const SparseMatrixBase< OtherDerived > &

other

)

const

inline

Returns

an expression of the product of two sparse matrices. By default a conservative product preserving the symbolic non zeros is performed. The automatic pruning of the small values can be achieved by calling the pruned() function in which case a totally different product algorithm is employed:

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

where ref is a meaningful non zero reference value.

outerSize()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::outerSize

(

)

const

inline

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

pruned()

template<typename Derived >

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

inline

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

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

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

where ref is a meaningful non zero reference value.

rows()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::rows

(

void

)

const

inline

Returns: the number of rows.

See also: cols()

size()

template<typename Derived >

Index Eigen::SparseMatrixBase< Derived >::size

(

)

const

inline

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

See also: rows(), cols().

twistedBy()

template<typename Derived >

SparseSymmetricPermutationProduct<Derived,Upper|Lower> Eigen::SparseMatrixBase< Derived >::twistedBy

(

const PermutationMatrix< Dynamic, Dynamic, StorageIndex > &

perm

)

const

inline

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

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

Eigen::SparseMatrixBase

template<typename Derived> class Eigen::SparseMatrixBase< Derived >

StorageIndex

value_type

anonymous enum

cols()

eval()

innerSize()

isVector()

operator*()

outerSize()

pruned()

rows()

size()

twistedBy()

template<typename Derived>
class Eigen::SparseMatrixBase< Derived >