Sparse matrix. More...

#include <MappedSparseMatrix.h>

Inheritance diagram for MappedSparseMatrix< _Scalar, _Flags, _Index >:

Public Member Functions
const CwiseBinaryOp< CustomBinaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index >, const OtherDerived >	binaryExpr (const Eigen::SparseMatrixBase< OtherDerived > &other, const CustomBinaryOp &func=CustomBinaryOp()) const

internal::cast_return_type< MappedSparseMatrix< _Scalar, _Flags, _Index >, const CwiseUnaryOp< internal::scalar_cast_op< typename internal::traits< MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar, NewType >, const MappedSparseMatrix< _Scalar, _Flags, _Index > > >::type	cast () const

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	col (Index j)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	col (Index j) const

ConjugateReturnType	conjugate () const

const CwiseUnaryOp< internal::scalar_abs_op< Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	cwiseAbs () const

const CwiseUnaryOp< internal::scalar_abs2_op< Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	cwiseAbs2 () const

const CwiseUnaryOp< std::binder1st< std::equal_to< Scalar > >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	cwiseEqual (const Scalar &s) const

const CwiseUnaryOp< internal::scalar_inverse_op< Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	cwiseInverse () const

const CwiseUnaryOp< internal::scalar_sqrt_op< Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	cwiseSqrt () const

Derived &	derived ()

const Derived &	derived () const

const	EIGEN_CWISE_PRODUCT_RETURN_TYPE (MappedSparseMatrix< _Scalar, _Flags, _Index >, OtherDerived) cwiseProduct(const Eigen

const internal::eval< MappedSparseMatrix< _Scalar, _Flags, _Index > >::type	eval () const

const ImagReturnType	imag () const

NonConstImagReturnType	imag ()

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	innerVector (Index outer)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	innerVector (Index outer) const

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	innerVectors (Index outerStart, Index outerSize)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	innerVectors (Index outerStart, Index outerSize) const

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	middleCols (Index start, Index size)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	middleCols (Index start, Index size) const

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	middleRows (Index start, Index size)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, Dynamic >	middleRows (Index start, Index size) const

Index	nonZeros () const

const ScalarMultipleReturnType	operator * (const Scalar &scalar) const

const CwiseUnaryOp< internal::scalar_multiple2_op< Scalar, std::complex< Scalar > >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	operator * (const std::complex< Scalar > &scalar) const

const SparseSparseProductReturnType< MappedSparseMatrix< _Scalar, _Flags, _Index >, OtherDerived >::Type	operator * (const SparseMatrixBase< OtherDerived > &other) const

const SparseDenseProductReturnType< MappedSparseMatrix< _Scalar, _Flags, _Index >, OtherDerived >::Type	operator * (const MatrixBase< OtherDerived > &other) const

const CwiseUnaryOp< internal::scalar_opposite_op< typename internal::traits< MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	operator- () const

const CwiseUnaryOp< internal::scalar_quotient1_op< typename internal::traits< MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	operator/ (const Scalar &scalar) const

RealReturnType	real () const

NonConstRealReturnType	real ()

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	row (Index i)

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index >, 1 >	row (Index i) const

Index	size () const

SparseSymmetricPermutationProduct< MappedSparseMatrix< _Scalar, _Flags, _Index >, Upper\|Lower >	twistedBy (const PermutationMatrix< Dynamic, Dynamic, Index > &perm) const

const CwiseUnaryOp< CustomUnaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	unaryExpr (const CustomUnaryOp &func=CustomUnaryOp()) const
	Apply a unary operator coefficient-wise. More...

const CwiseUnaryView< CustomViewOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > >	unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const

	~MappedSparseMatrix ()

Detailed Description

template<typename _Scalar, int _Flags, typename _Index>
class Eigen::MappedSparseMatrix< _Scalar, _Flags, _Index >

Sparse matrix.

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.

Constructor & Destructor Documentation

◆ ~MappedSparseMatrix()

~MappedSparseMatrix ( )

inline

Empty destructor

Member Function Documentation

◆ binaryExpr()

const CwiseBinaryOp<CustomBinaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> binaryExpr	(	const Eigen::SparseMatrixBase< OtherDerived > &	other,
		const CustomBinaryOp &	func = `CustomBinaryOp()`
	)		const

inlineinherited

Returns: an expression of the difference of *this and other

Note: If you want to substract a given scalar from all coefficients, see Cwise::operator-().

See also: class CwiseBinaryOp, operator-=()

Returns: an expression of the sum of *this and other

Note: If you want to add a given scalar to all coefficients, see Cwise::operator+().

See also: class CwiseBinaryOp, operator+=()

Returns: an expression of a custom coefficient-wise operator func of *this and other

The template parameter CustomBinaryOp is the type of the functor of the custom operator (see class CwiseBinaryOp for an example)

Here is an example illustrating the use of custom functors:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
// define a custom template binary functor
template<typename Scalar> struct MakeComplexOp {
  EIGEN_EMPTY_STRUCT_CTOR(MakeComplexOp)
  typedef complex<Scalar> result_type;
  complex<Scalar> operator()(const Scalar& a, const Scalar& b) const { return complex<Scalar>(a,b); }
};
int main(int, char**)
{
  Matrix4d m1 = Matrix4d::Random(), m2 = Matrix4d::Random();
  cout << m1.binaryExpr(m2, MakeComplexOp<double>()) << endl;
  return 0;
}

Output:

   (0.68,0.271)  (0.823,-0.967) (-0.444,-0.687)   (-0.27,0.998)
 (-0.211,0.435) (-0.605,-0.514)  (0.108,-0.198) (0.0268,-0.563)
 (0.566,-0.717)  (-0.33,-0.726) (-0.0452,-0.74)  (0.904,0.0259)
  (0.597,0.214)   (0.536,0.608)  (0.258,-0.782)   (0.832,0.678)

See also: class CwiseBinaryOp, operator+(), operator-(), cwiseProduct()

◆ cast()

internal::cast_return_type<MappedSparseMatrix< _Scalar, _Flags, _Index > ,const CwiseUnaryOp<internal::scalar_cast_op<typename internal::traits<MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar, NewType>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > >::type cast ( ) const

inlineinherited

Returns: an expression of *this with the Scalar type casted to NewScalar.

The template parameter NewScalar is the type we are casting the scalars to.

See also: class CwiseUnaryOp

◆ col() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > col ( Index i )

inherited

Returns: the i-th column of the matrix *this. For column-major matrix only.

◆ col() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > col ( Index i ) const

inherited

Returns: the i-th column of the matrix *this. For column-major matrix only. (read-only version)

◆ conjugate()

ConjugateReturnType conjugate ( ) const

inlineinherited

Returns: an expression of the complex conjugate of *this.

See also: adjoint()

◆ cwiseAbs()

const CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseAbs ( ) const

inlineinherited

Returns: an expression of the coefficient-wise absolute value of *this

Example:

MatrixXd m(2,3);
m << 2, -4, 6,   
     -5, 1, 0;
cout << m.cwiseAbs() << endl;

Output:

2 4 6
5 1 0

See also: cwiseAbs2()

◆ cwiseAbs2()

const CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseAbs2 ( ) const

inlineinherited

Returns: an expression of the coefficient-wise squared absolute value of *this

Example:

MatrixXd m(2,3);
m << 2, -4, 6,   
     -5, 1, 0;
cout << m.cwiseAbs2() << endl;

Output:

 4 16 36
25  1  0

See also: cwiseAbs()

◆ cwiseEqual()

const CwiseUnaryOp<std::binder1st<std::equal_to<Scalar> >, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseEqual ( const Scalar & s ) const

inlineinherited

Returns: an expression of the coefficient-wise == operator of *this and a scalar s

Warning: this performs an exact comparison, which is generally a bad idea with floating-point types. In order to check for equality between two vectors or matrices with floating-point coefficients, it is generally a far better idea to use a fuzzy comparison as provided by isApprox() and isMuchSmallerThan().

See also: cwiseEqual(const MatrixBase<OtherDerived> &) const

◆ cwiseInverse()

const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseInverse ( ) const

inlineinherited

Returns: an expression of the coefficient-wise inverse of *this.

Example:

MatrixXd m(2,3);
m << 2, 0.5, 1,   
     3, 0.25, 1;
cout << m.cwiseInverse() << endl;

Output:

0.5 2 1
0.333 4 1

See also: cwiseProduct()

◆ cwiseSqrt()

const CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseSqrt ( ) const

inlineinherited

Returns: an expression of the coefficient-wise square root of *this.

Example:

Vector3d v(1,2,4);

cout << v.cwiseSqrt() << endl;

Output:

1
1.41
2

See also: cwisePow(), cwiseSquare()

◆ derived() [1/2]

Derived& derived ( )

inlineinherited

Returns: a reference to the derived object

Referenced by MatrixBase< DiagonalProduct< MatrixType, DiagonalType, ProductOrder > >::applyOnTheLeft(), MatrixBase< DiagonalProduct< MatrixType, DiagonalType, ProductOrder > >::applyOnTheRight(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::applyTranspositionOnTheLeft(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::applyTranspositionOnTheRight(), SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::binaryExpr(), EigenBase< SparseSymmetricPermutationProduct< MatrixType, UpLo > >::cols(), SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::imag(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::indices(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::inverse(), RotationBase< Derived, 3 >::operator *(), Translation< _Scalar, _Dim >::operator *(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::operator *(), SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::operator *(), Transform< _Scalar, _Dim, _Mode, _Options >::operator *(), MatrixBase< DiagonalProduct< MatrixType, DiagonalType, ProductOrder > >::operator *=(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::operator=(), DenseBase< Derived >::operator=(), Transform< _Scalar, _Dim, _Mode, _Options >::operator=(), PlainObjectBase< Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::operator=(), PlainObjectBase< Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::PlainObjectBase(), PlainObjectBase< Matrix< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::resizeLike(), EigenBase< SparseSymmetricPermutationProduct< MatrixType, UpLo > >::rows(), SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >::solve(), IterativeSolverBase< ConjugateGradient< _MatrixType, _UpLo, _Preconditioner > >::solve(), CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLLT< _MatrixType, _UpLo > >::solve(), SparseMatrix< Scalar, RowMajor >::SparseMatrix(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::toDenseMatrix(), Transform< _Scalar, _Dim, _Mode, _Options >::Transform(), PermutationBase< PermutationMatrix< SizeAtCompileTime, MaxSizeAtCompileTime, IndexType > >::transpose(), and SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::unaryExpr().

◆ derived() [2/2]

const Derived& derived ( ) const

inlineinherited

Returns: a const reference to the derived object

◆ EIGEN_CWISE_PRODUCT_RETURN_TYPE()

const EIGEN_CWISE_PRODUCT_RETURN_TYPE	(	MappedSparseMatrix< _Scalar, _Flags, _Index >	,
		OtherDerived
	)		const

inlineinherited

Returns: an expression of the Schur product (coefficient wise product) of *this and other

Example:

Matrix3i a = Matrix3i::Random(), b = Matrix3i::Random();
Matrix3i c = a.cwiseProduct(b);
cout << "a:\n" << a << "\nb:\n" << b << "\nc:\n" << c << endl;

Output:

See also: class CwiseBinaryOp, cwiseAbs2

Returns: an expression of the coefficient-wise == operator of *this and other

Warning: this performs an exact comparison, which is generally a bad idea with floating-point types. In order to check for equality between two vectors or matrices with floating-point coefficients, it is generally a far better idea to use a fuzzy comparison as provided by isApprox() and isMuchSmallerThan().

Example:

MatrixXi m(2,2);
m << 1, 0,
     1, 1;
cout << "Comparing m with identity matrix:" << endl;
cout << m.cwiseEqual(MatrixXi::Identity(2,2)) << endl;
int count = m.cwiseEqual(MatrixXi::Identity(2,2)).count();
cout << "Number of coefficients that are equal: " << count << endl;

Output:

Comparing m with identity matrix:
1 1
0 1
Number of coefficients that are equal: 3

See also: cwiseNotEqual(), isApprox(), isMuchSmallerThan()

Returns: an expression of the coefficient-wise != operator of *this and other

Warning: this performs an exact comparison, which is generally a bad idea with floating-point types. In order to check for equality between two vectors or matrices with floating-point coefficients, it is generally a far better idea to use a fuzzy comparison as provided by isApprox() and isMuchSmallerThan().

Example:

MatrixXi m(2,2);
m << 1, 0,
     1, 1;
cout << "Comparing m with identity matrix:" << endl;
cout << m.cwiseNotEqual(MatrixXi::Identity(2,2)) << endl;
int count = m.cwiseNotEqual(MatrixXi::Identity(2,2)).count();
cout << "Number of coefficients that are not equal: " << count << endl;

Output:

Comparing m with identity matrix:
0 0
1 0
Number of coefficients that are not equal: 1

See also: cwiseEqual(), isApprox(), isMuchSmallerThan()

Returns: an expression of the coefficient-wise min of *this and other

Example:

Vector3d v(2,3,4), w(4,2,3);

cout << v.cwiseMin(w) << endl;

Output:

2
2
3

See also: class CwiseBinaryOp, max()

Returns: an expression of the coefficient-wise min of *this and scalar other

See also: class CwiseBinaryOp, min()

Returns: an expression of the coefficient-wise max of *this and other

Example:

Vector3d v(2,3,4), w(4,2,3);

cout << v.cwiseMax(w) << endl;

Output:

4
3
4

See also: class CwiseBinaryOp, min()

Returns: an expression of the coefficient-wise max of *this and scalar other

See also: class CwiseBinaryOp, min()

Returns: an expression of the coefficient-wise quotient of *this and other

Example:

Vector3d v(2,3,4), w(4,2,3);

cout << v.cwiseQuotient(w) << endl;

Output:

0.5
1.5
1.33

See also: class CwiseBinaryOp, cwiseProduct(), cwiseInverse()

Returns: the number of rows.

See also: cols()

Returns: the number of columns.

See also: rows()

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

See also: rows(), cols().

Returns: the number of nonzero coefficients which is in practice the number of stored coefficients.; 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.

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; 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

◆ eval()

const internal::eval<MappedSparseMatrix< _Scalar, _Flags, _Index > >::type 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.

◆ imag() [1/2]

const ImagReturnType imag ( ) const

inlineinherited

Returns: an read-only expression of the imaginary part of *this.

See also: real()

◆ imag() [2/2]

NonConstImagReturnType imag ( )

inlineinherited

Returns: a non const expression of the imaginary part of *this.

See also: real()

◆ innerVector() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > innerVector ( Index outer )

inherited

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

◆ innerVector() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > 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.

◆ innerVectors() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > 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).

◆ innerVectors() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > 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.

◆ middleCols() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > middleCols	(	Index	start,
		Index	size
	)

inherited

Returns: the i-th column of the matrix *this. For column-major matrix only.

◆ middleCols() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > middleCols	(	Index	start,
		Index	size
	)		const

inherited

Returns: the i-th column of the matrix *this. For column-major matrix only. (read-only version)

◆ middleRows() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > middleRows	(	Index	start,
		Index	size
	)

inherited

Returns: the i-th row of the matrix *this. For row-major matrix only.

◆ middleRows() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , Dynamic > middleRows	(	Index	start,
		Index	size
	)		const

inherited

Returns: the i-th row of the matrix *this. For row-major matrix only. (read-only version)

◆ nonZeros()

Index nonZeros ( ) const

inline

Returns: the number of non zero coefficients

◆ operator *() [1/4]

const ScalarMultipleReturnType operator * ( const Scalar & scalar ) const

inlineinherited

Returns: an expression of *this scaled by the scalar factor scalar

◆ operator *() [2/4]

const CwiseUnaryOp<internal::scalar_multiple2_op<Scalar,std::complex<Scalar> >, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator * ( const std::complex< Scalar > & scalar ) const

inlineinherited

Overloaded for efficient real matrix times complex scalar value

◆ operator *() [3/4]

const SparseSparseProductReturnType< MappedSparseMatrix< _Scalar, _Flags, _Index > , OtherDerived >::Type 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.

◆ operator *() [4/4]

const SparseDenseProductReturnType< MappedSparseMatrix< _Scalar, _Flags, _Index > , OtherDerived >::Type operator * ( const MatrixBase< OtherDerived > & other ) const

inlineinherited

sparse * dense (returns a dense object unless it is an outer product)

◆ operator-()

const CwiseUnaryOp<internal::scalar_opposite_op<typename internal::traits<MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator- ( ) const

inlineinherited

Returns: an expression of the opposite of *this

◆ operator/()

const CwiseUnaryOp<internal::scalar_quotient1_op<typename internal::traits<MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator/ ( const Scalar & scalar ) const

inlineinherited

Returns: an expression of *this divided by the scalar value scalar

◆ real() [1/2]

RealReturnType real ( ) const

inlineinherited

Returns: a read-only expression of the real part of *this.

See also: imag()

◆ real() [2/2]

NonConstRealReturnType real ( )

inlineinherited

Returns: a non const expression of the real part of *this.

See also: imag()

◆ row() [1/2]

SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > row ( Index i )

inherited

Returns: the i-th row of the matrix *this. For row-major matrix only.

◆ row() [2/2]

const SparseInnerVectorSet< MappedSparseMatrix< _Scalar, _Flags, _Index > , 1 > row ( Index i ) const

inherited

Returns: the i-th row of the matrix *this. For row-major matrix only. (read-only version)

◆ size()

Index size ( ) const

inlineinherited

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

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

◆ twistedBy()

SparseSymmetricPermutationProduct<MappedSparseMatrix< _Scalar, _Flags, _Index > ,Upper|Lower> twistedBy ( const PermutationMatrix< Dynamic, Dynamic, Index > & perm ) const

inlineinherited

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

◆ unaryExpr()

const CwiseUnaryOp<CustomUnaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > > unaryExpr ( const CustomUnaryOp & func = CustomUnaryOp() ) const

inlineinherited

Apply a unary operator coefficient-wise.

Parameters

[in] func Functor implementing the unary operator

Template Parameters

CustomUnaryOp Type of func

Returns: An expression of a custom coefficient-wise unary operator func of *this

The function ptr_fun() from the C++ standard library can be used to make functors out of normal functions.

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
// define function to be applied coefficient-wise
double ramp(double x)
{
  if (x > 0)
    return x;
  else 
    return 0;
}
int main(int, char**)
{
  Matrix4d m1 = Matrix4d::Random();
  cout << m1 << endl << "becomes: " << endl << m1.unaryExpr(ptr_fun(ramp)) << endl;
  return 0;
}

Output:

   0.68   0.823  -0.444   -0.27
 -0.211  -0.605   0.108  0.0268
  0.566   -0.33 -0.0452   0.904
  0.597   0.536   0.258   0.832
becomes: 
  0.68  0.823      0      0
     0      0  0.108 0.0268
 0.566      0      0  0.904
 0.597  0.536  0.258  0.832

Genuine functors allow for more possibilities, for instance it may contain a state.

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
// define a custom template unary functor
template<typename Scalar>
struct CwiseClampOp {
  CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup(sup) {}
  const Scalar operator()(const Scalar& x) const { return x<m_inf ? m_inf : (x>m_sup ? m_sup : x); }
  Scalar m_inf, m_sup;
};
int main(int, char**)
{
  Matrix4d m1 = Matrix4d::Random();
  cout << m1 << endl << "becomes: " << endl << m1.unaryExpr(CwiseClampOp<double>(-0.5,0.5)) << endl;
  return 0;
}

Output:

   0.68   0.823  -0.444   -0.27
 -0.211  -0.605   0.108  0.0268
  0.566   -0.33 -0.0452   0.904
  0.597   0.536   0.258   0.832
becomes: 
    0.5     0.5  -0.444   -0.27
 -0.211    -0.5   0.108  0.0268
    0.5   -0.33 -0.0452     0.5
    0.5     0.5   0.258     0.5

See also: class CwiseUnaryOp, class CwiseBinaryOp

◆ unaryViewExpr()

const CwiseUnaryView<CustomViewOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > > unaryViewExpr ( const CustomViewOp & func = CustomViewOp() ) const

inlineinherited

Returns: an expression of a custom coefficient-wise unary operator func of *this

The template parameter CustomUnaryOp is the type of the functor of the custom unary operator.

Example:

#include <Eigen/Core>
#include <iostream>
using namespace Eigen;
using namespace std;
// define a custom template unary functor
template<typename Scalar>
struct CwiseClampOp {
  CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup(sup) {}
  const Scalar operator()(const Scalar& x) const { return x<m_inf ? m_inf : (x>m_sup ? m_sup : x); }
  Scalar m_inf, m_sup;
};
int main(int, char**)
{
  Matrix4d m1 = Matrix4d::Random();
  cout << m1 << endl << "becomes: " << endl << m1.unaryExpr(CwiseClampOp<double>(-0.5,0.5)) << endl;
  return 0;
}

Output:

   0.68   0.823  -0.444   -0.27
 -0.211  -0.605   0.108  0.0268
  0.566   -0.33 -0.0452   0.904
  0.597   0.536   0.258   0.832
becomes: 
    0.5     0.5  -0.444   -0.27
 -0.211    -0.5   0.108  0.0268
    0.5   -0.33 -0.0452     0.5
    0.5     0.5   0.258     0.5

See also: class CwiseUnaryOp, class CwiseBinaryOp

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

MappedSparseMatrix.h

Public Member Functions

Detailed Description

template<typename _Scalar, int _Flags, typename _Index> class Eigen::MappedSparseMatrix< _Scalar, _Flags, _Index >

Constructor & Destructor Documentation

◆ ~MappedSparseMatrix()

Member Function Documentation

◆ binaryExpr()

◆ cast()

◆ col() [1/2]

◆ col() [2/2]

◆ conjugate()

◆ cwiseAbs()

◆ cwiseAbs2()

◆ cwiseEqual()

◆ cwiseInverse()

◆ cwiseSqrt()

◆ derived() [1/2]

◆ derived() [2/2]

◆ EIGEN_CWISE_PRODUCT_RETURN_TYPE()

◆ eval()

◆ imag() [1/2]

◆ imag() [2/2]

◆ innerVector() [1/2]

◆ innerVector() [2/2]

◆ innerVectors() [1/2]

◆ innerVectors() [2/2]

◆ middleCols() [1/2]

◆ middleCols() [2/2]

◆ middleRows() [1/2]

◆ middleRows() [2/2]

◆ nonZeros()

◆ operator *() [1/4]

◆ operator *() [2/4]

◆ operator *() [3/4]

◆ operator *() [4/4]

◆ operator-()

◆ operator/()

◆ real() [1/2]

◆ real() [2/2]

◆ row() [1/2]

◆ row() [2/2]

◆ size()

◆ twistedBy()

◆ unaryExpr()

◆ unaryViewExpr()

template<typename _Scalar, int _Flags, typename _Index>
class Eigen::MappedSparseMatrix< _Scalar, _Flags, _Index >