CwiseUnaryOpImpl< UnaryOp, MatrixType, Sparse > Class Template Reference

#include <SparseCwiseUnaryOp.h>

Inheritance diagram for CwiseUnaryOpImpl< UnaryOp, MatrixType, Sparse >:

List of all members.

Public Types
enum
typedef internal::conditional < NumTraits< Scalar > ::IsComplex, CwiseUnaryOp < internal::scalar_conjugate_op < Scalar >, Eigen::Transpose < const CwiseUnaryOp< UnaryOp, MatrixType > > >, Transpose < const CwiseUnaryOp< UnaryOp, MatrixType > > >::type	AdjointReturnType
typedef EigenBase < CwiseUnaryOp< UnaryOp, MatrixType > >	Base
typedef CwiseUnaryOp< UnaryOp, MatrixType >	Derived
typedef internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::Index	Index
typedef internal::add_const_on_value_type_if_arithmetic < typename internal::packet_traits < Scalar >::type >::type	PacketReturnType
typedef internal::packet_traits < Scalar >::type	PacketScalar
typedef SparseMatrix< Scalar, Flags &RowMajorBit?RowMajor:ColMajor >	PlainObject
typedef internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar	Scalar
typedef SparseMatrixBase	StorageBaseType
typedef internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::StorageKind	StorageKind

Public Member Functions
void	addTo (Dest &dst) const
const AdjointReturnType	adjoint () const
void	applyThisOnTheLeft (Dest &dst) const
void	applyThisOnTheRight (Dest &dst) const
const CwiseBinaryOp < CustomBinaryOp, const CwiseUnaryOp< UnaryOp, MatrixType >, const OtherDerived >	binaryExpr (const Eigen::SparseMatrixBase< OtherDerived > &other, const CustomBinaryOp &func=CustomBinaryOp()) const
internal::cast_return_type < CwiseUnaryOp< UnaryOp, MatrixType >, const CwiseUnaryOp < internal::scalar_cast_op < typename internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar, NewType >, const CwiseUnaryOp < UnaryOp, MatrixType > > >::type	cast () const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	col (Index j)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	col (Index j) const
Index	cols () const
ConjugateReturnType	conjugate () const
CwiseUnaryOp< UnaryOp, MatrixType > &	const_cast_derived () const
const CwiseUnaryOp< UnaryOp, MatrixType > &	const_derived () const
const CwiseUnaryOp < internal::scalar_abs_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType > >	cwiseAbs () const
const CwiseUnaryOp < internal::scalar_abs2_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType > >	cwiseAbs2 () const
const CwiseBinaryOp < std::equal_to< Scalar > , const CwiseUnaryOp< UnaryOp, MatrixType >, const OtherDerived >	cwiseEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseUnaryOp < std::binder1st < std::equal_to< Scalar > >, const CwiseUnaryOp < UnaryOp, MatrixType > >	cwiseEqual (const Scalar &s) const
const CwiseUnaryOp < internal::scalar_inverse_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType > >	cwiseInverse () const
const CwiseBinaryOp < internal::scalar_max_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType >, const OtherDerived >	cwiseMax (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp < internal::scalar_max_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType >, const ConstantReturnType >	cwiseMax (const Scalar &other) const
const CwiseBinaryOp < internal::scalar_min_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType >, const OtherDerived >	cwiseMin (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp < internal::scalar_min_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType >, const ConstantReturnType >	cwiseMin (const Scalar &other) const
const CwiseBinaryOp < std::not_equal_to< Scalar > , const CwiseUnaryOp< UnaryOp, MatrixType >, const OtherDerived >	cwiseNotEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE	cwiseProduct (const MatrixBase< OtherDerived > &other) const
const CwiseBinaryOp < internal::scalar_quotient_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType >, const OtherDerived >	cwiseQuotient (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseUnaryOp < internal::scalar_sqrt_op < Scalar >, const CwiseUnaryOp < UnaryOp, MatrixType > >	cwiseSqrt () const
CwiseUnaryOp< UnaryOp, MatrixType > &	derived ()
const CwiseUnaryOp< UnaryOp, MatrixType > &	derived () const
Scalar	dot (const MatrixBase< OtherDerived > &other) const
Scalar	dot (const SparseMatrixBase< OtherDerived > &other) const
const	EIGEN_CWISE_PRODUCT_RETURN_TYPE (CwiseUnaryOp< UnaryOp, MatrixType >, OtherDerived) cwiseProduct(const Eigen
const internal::eval < CwiseUnaryOp< UnaryOp, MatrixType > >::type	eval () const
void	evalTo (Dest &dst) const
void	evalTo (MatrixBase< DenseDerived > &dst) const
const ImagReturnType	imag () const
NonConstImagReturnType	imag ()
Index	innerSize () const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	innerVector (Index outer)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	innerVector (Index outer) const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	innerVectors (Index outerStart, Index outerSize)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	innerVectors (Index outerStart, Index outerSize) const
bool	isApprox (const SparseMatrixBase< OtherDerived > &other, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const
bool	isApprox (const MatrixBase< OtherDerived > &other, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const
bool	isRValue () const
bool	isVector () const
CwiseUnaryOp< UnaryOp, MatrixType > &	markAsRValue ()
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	middleCols (Index start, Index size)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	middleCols (Index start, Index size) const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	middleRows (Index start, Index size)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	middleRows (Index start, Index size) const
Index	nonZeros () const
RealScalar	norm () const
const ScalarMultipleReturnType	operator* (const Scalar &scalar) const
const ScalarMultipleReturnType	operator* (const RealScalar &scalar) const
const CwiseUnaryOp < internal::scalar_multiple2_op < Scalar, std::complex< Scalar > >, const CwiseUnaryOp < UnaryOp, MatrixType > >	operator* (const std::complex< Scalar > &scalar) const
const SparseSparseProductReturnType < CwiseUnaryOp< UnaryOp, MatrixType >, OtherDerived > ::Type	operator* (const SparseMatrixBase< OtherDerived > &other) const
const SparseDiagonalProduct < CwiseUnaryOp< UnaryOp, MatrixType >, OtherDerived >	operator* (const DiagonalBase< OtherDerived > &other) const
const SparseDenseProductReturnType < CwiseUnaryOp< UnaryOp, MatrixType >, OtherDerived > ::Type	operator* (const MatrixBase< OtherDerived > &other) const
CwiseUnaryOp< UnaryOp, MatrixType > &	operator*= (const Scalar &other)
CwiseUnaryOp< UnaryOp, MatrixType > &	operator*= (const SparseMatrixBase< OtherDerived > &other)
CwiseUnaryOp< UnaryOp, MatrixType > &	operator+= (const SparseMatrixBase< OtherDerived > &other)
const CwiseUnaryOp < internal::scalar_opposite_op < typename internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar > , const CwiseUnaryOp< UnaryOp, MatrixType > >	operator- () const
CwiseUnaryOp< UnaryOp, MatrixType > &	operator-= (const SparseMatrixBase< OtherDerived > &other)
const CwiseUnaryOp < internal::scalar_quotient1_op < typename internal::traits < CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar > , const CwiseUnaryOp< UnaryOp, MatrixType > >	operator/ (const Scalar &scalar) const
CwiseUnaryOp< UnaryOp, MatrixType > &	operator/= (const Scalar &other)
Index	outerSize () const
RealReturnType	real () const
NonConstRealReturnType	real ()
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	row (Index i)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, 1 >	row (Index i) const
Index	rows () const
const SparseSelfAdjointView < CwiseUnaryOp< UnaryOp, MatrixType >, UpLo >	selfadjointView () const
SparseSelfAdjointView < CwiseUnaryOp< UnaryOp, MatrixType >, UpLo >	selfadjointView ()
Index	size () const
RealScalar	squaredNorm () const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	subcols (Index start, Index size)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	subcols (Index start, Index size) const
SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	subrows (Index start, Index size)
const SparseInnerVectorSet < CwiseUnaryOp< UnaryOp, MatrixType >, Dynamic >	subrows (Index start, Index size) const
void	subTo (Dest &dst) const
Scalar	sum () const
Matrix< Scalar, RowsAtCompileTime, ColsAtCompileTime >	toDense () const
Transpose< CwiseUnaryOp < UnaryOp, MatrixType > >	transpose ()
const Transpose< const CwiseUnaryOp< UnaryOp, MatrixType > >	transpose () const
const SparseTriangularView < CwiseUnaryOp< UnaryOp, MatrixType >, Mode >	triangularView () const
SparseSymmetricPermutationProduct < CwiseUnaryOp< UnaryOp, MatrixType >, Upper|Lower >	twistedBy (const PermutationMatrix< Dynamic, Dynamic, Index > &perm) const
const CwiseUnaryOp < CustomUnaryOp, const CwiseUnaryOp< UnaryOp, MatrixType > >	unaryExpr (const CustomUnaryOp &func=CustomUnaryOp()) const
	Apply a unary operator coefficient-wise.
const CwiseUnaryView < CustomViewOp, const CwiseUnaryOp< UnaryOp, MatrixType > >	unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const

Protected Types
typedef internal::traits < Derived >::_XprTypeNested	_MatrixTypeNested
typedef _MatrixTypeNested::InnerIterator	MatrixTypeIterator
typedef _MatrixTypeNested::ReverseInnerIterator	MatrixTypeReverseIterator

Protected Member Functions
CwiseUnaryOp< UnaryOp, MatrixType > &	assign (const OtherDerived &other)
void	assignGeneric (const OtherDerived &other)

Protected Attributes
bool	m_isRValue

---

Member Typedef Documentation

typedef internal::traits<Derived>::_XprTypeNested _MatrixTypeNested

protected

typedef internal::conditional<NumTraits<Scalar>::IsComplex, CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, Eigen::Transpose<const CwiseUnaryOp< UnaryOp, MatrixType > > >, Transpose<const CwiseUnaryOp< UnaryOp, MatrixType > > >::type AdjointReturnType

inherited

typedef EigenBase<CwiseUnaryOp< UnaryOp, MatrixType > > Base

inherited

typedef CwiseUnaryOp<UnaryOp, MatrixType> Derived

typedef internal::traits<CwiseUnaryOp< UnaryOp, MatrixType > >::Index Index

inherited

Reimplemented from EigenBase< CwiseUnaryOp< UnaryOp, MatrixType > >.

typedef _MatrixTypeNested::InnerIterator MatrixTypeIterator

protected

typedef _MatrixTypeNested::ReverseInnerIterator MatrixTypeReverseIterator

protected

typedef internal::add_const_on_value_type_if_arithmetic< typename internal::packet_traits<Scalar>::type >::type PacketReturnType

inherited

typedef internal::packet_traits<Scalar>::type PacketScalar

inherited

typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor> PlainObject

inherited

typedef internal::traits<CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar Scalar

inherited

typedef SparseMatrixBase StorageBaseType

inherited

typedef internal::traits<CwiseUnaryOp< UnaryOp, MatrixType > >::StorageKind StorageKind

inherited

Reimplemented from EigenBase< CwiseUnaryOp< UnaryOp, MatrixType > >.

---

Member Enumeration Documentation

anonymous enum

inherited

---

Member Function Documentation

void addTo ( Dest &  dst ) const

inlineinherited

const AdjointReturnType adjoint ( ) const

inlineinherited

void applyThisOnTheLeft ( Dest &  dst ) const

inlineinherited

void applyThisOnTheRight ( Dest &  dst ) const

inlineinherited

CwiseUnaryOp< UnaryOp, MatrixType > & assign ( const OtherDerived &  other )

inlineprotectedinherited

void assignGeneric ( const OtherDerived &  other )

inlineprotectedinherited

const CwiseBinaryOp<CustomBinaryOp, const CwiseUnaryOp< UnaryOp, MatrixType > , 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()

internal::cast_return_type<CwiseUnaryOp< UnaryOp, MatrixType > ,const CwiseUnaryOp<internal::scalar_cast_op<typename internal::traits<CwiseUnaryOp< UnaryOp, MatrixType > >::Scalar, NewType>, const CwiseUnaryOp< UnaryOp, MatrixType > > >::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

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,1> col ( Index  j )

inherited

Returns:

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

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,1> col ( Index  j ) const

inherited

Returns:

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

Index cols ( void  ) const

inlineinherited

Returns:

the number of columns.

See also:

rows()

Reimplemented from EigenBase< CwiseUnaryOp< UnaryOp, MatrixType > >.

ConjugateReturnType conjugate ( ) const

inlineinherited

Returns:

an expression of the complex conjugate of *this.

See also:

adjoint()

CwiseUnaryOp< UnaryOp, MatrixType > & const_cast_derived ( ) const

inlineinherited

const CwiseUnaryOp< UnaryOp, MatrixType > & const_derived ( ) const

inlineinherited

const CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > > 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()

const CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > > 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()

const CwiseBinaryOp<std::equal_to<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const OtherDerived> cwiseEqual ( const Eigen::SparseMatrixBase< OtherDerived > &  other ) const

inlineinherited

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()

const CwiseUnaryOp<std::binder1st<std::equal_to<Scalar> >, const CwiseUnaryOp< UnaryOp, MatrixType > > 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

const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > > 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()

const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const OtherDerived> cwiseMax ( const Eigen::SparseMatrixBase< OtherDerived > &  other ) const

inlineinherited

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()

const CwiseBinaryOp<internal::scalar_max_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const ConstantReturnType> cwiseMax ( const Scalar &  other ) const

inlineinherited

Returns:

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

See also:

class CwiseBinaryOp, min()

const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const OtherDerived> cwiseMin ( const Eigen::SparseMatrixBase< OtherDerived > &  other ) const

inlineinherited

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()

const CwiseBinaryOp<internal::scalar_min_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const ConstantReturnType> cwiseMin ( const Scalar &  other ) const

inlineinherited

Returns:

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

See also:

class CwiseBinaryOp, min()

const CwiseBinaryOp<std::not_equal_to<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const OtherDerived> cwiseNotEqual ( const Eigen::SparseMatrixBase< OtherDerived > &  other ) const

inlineinherited

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()

const EIGEN_SPARSE_CWISE_PRODUCT_RETURN_TYPE cwiseProduct ( const MatrixBase< OtherDerived > &  other ) const

inlineinherited

const CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > , const OtherDerived> cwiseQuotient ( const Eigen::SparseMatrixBase< OtherDerived > &  other ) const

inlineinherited

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()

const CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const CwiseUnaryOp< UnaryOp, MatrixType > > 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()

CwiseUnaryOp< UnaryOp, MatrixType > & derived ( )

inlineinherited

Returns:

a reference to the derived object

const CwiseUnaryOp< UnaryOp, MatrixType > & derived ( ) const

inlineinherited

Returns:

a const reference to the derived object

Scalar dot ( const MatrixBase< OtherDerived > &  other ) const

inherited

Scalar dot ( const SparseMatrixBase< OtherDerived > &  other ) const

inherited

const EIGEN_CWISE_PRODUCT_RETURN_TYPE ( CwiseUnaryOp< UnaryOp, MatrixType >  , 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:

a:
 7  6 -3
-2  9  6
 6 -6 -5
b:
 1 -3  9
 0  0  3
 3  9  5
c:
  7 -18 -27
  0   0  18
 18 -54 -25

See also:

class CwiseBinaryOp, cwiseAbs2

const internal::eval<CwiseUnaryOp< UnaryOp, MatrixType > >::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.

void evalTo ( Dest &  dst ) const

inlineinherited

void evalTo ( MatrixBase< DenseDerived > &  dst ) const

inlineinherited

const ImagReturnType imag ( ) const

inlineinherited

Returns:

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

See also:

real()

NonConstImagReturnType imag ( )

inlineinherited

Returns:

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

See also:

real()

Index 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

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,1> innerVector ( Index  outer )

inherited

Returns:

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

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,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.

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,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).

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,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.

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

inlineinherited

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

inlineinherited

bool isRValue ( ) const

inlineinherited

bool 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.

CwiseUnaryOp< UnaryOp, MatrixType > & markAsRValue ( )

inlineinherited

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> middleCols ( Index  start, Index  size  )

inherited

Returns:

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

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,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)

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> middleRows ( Index  start, Index  size  )

inherited

Returns:

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

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,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)

Index nonZeros ( ) const

inlineinherited

Returns:

the number of nonzero coefficients which is in practice the number of stored coefficients.

RealScalar norm ( ) const

inherited

const ScalarMultipleReturnType operator* ( const Scalar &  scalar ) const

inlineinherited

Returns:

an expression of *this scaled by the scalar factor scalar

const ScalarMultipleReturnType operator* ( const RealScalar &  scalar ) const

inherited

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

inlineinherited

Overloaded for efficient real matrix times complex scalar value

const SparseSparseProductReturnType<CwiseUnaryOp< UnaryOp, MatrixType > ,OtherDerived>::Type operator* ( const SparseMatrixBase< OtherDerived > &  other ) const

inherited

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.

const SparseDiagonalProduct<CwiseUnaryOp< UnaryOp, MatrixType > ,OtherDerived> operator* ( const DiagonalBase< OtherDerived > &  other ) const

inherited

const SparseDenseProductReturnType<CwiseUnaryOp< UnaryOp, MatrixType > ,OtherDerived>::Type operator* ( const MatrixBase< OtherDerived > &  other ) const

inherited

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

CwiseUnaryOp< UnaryOp, MatrixType > & operator*= ( const Scalar &  other )

inherited

CwiseUnaryOp< UnaryOp, MatrixType > & operator*= ( const SparseMatrixBase< OtherDerived > &  other )

inherited

CwiseUnaryOp< UnaryOp, MatrixType > & operator+= ( const SparseMatrixBase< OtherDerived > &  other )

inherited

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

inlineinherited

Returns:

an expression of the opposite of *this

CwiseUnaryOp< UnaryOp, MatrixType > & operator-= ( const SparseMatrixBase< OtherDerived > &  other )

inherited

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

inlineinherited

Returns:

an expression of *this divided by the scalar value scalar

CwiseUnaryOp< UnaryOp, MatrixType > & operator/= ( const Scalar &  other )

inherited

Index 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

RealReturnType real ( ) const

inlineinherited

Returns:

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

See also:

imag()

NonConstRealReturnType real ( )

inlineinherited

Returns:

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

See also:

imag()

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,1> row ( Index  i )

inherited

Returns:

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

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,1> row ( Index  i ) const

inherited

Returns:

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

Index rows ( void  ) const

inlineinherited

Returns:

the number of rows.

See also:

cols()

Reimplemented from EigenBase< CwiseUnaryOp< UnaryOp, MatrixType > >.

const SparseSelfAdjointView<CwiseUnaryOp< UnaryOp, MatrixType > , UpLo> selfadjointView ( ) const

inlineinherited

SparseSelfAdjointView<CwiseUnaryOp< UnaryOp, MatrixType > , UpLo> selfadjointView ( )

inlineinherited

Index size ( ) const

inlineinherited

Returns:

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

See also:

rows(), cols().

Reimplemented from EigenBase< CwiseUnaryOp< UnaryOp, MatrixType > >.

RealScalar squaredNorm ( ) const

inherited

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> subcols ( Index  start, Index  size  )

inherited

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> subcols ( Index  start, Index  size  ) const

inherited

SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> subrows ( Index  start, Index  size  )

inherited

const SparseInnerVectorSet<CwiseUnaryOp< UnaryOp, MatrixType > ,Dynamic> subrows ( Index  start, Index  size  ) const

inherited

void subTo ( Dest &  dst ) const

inlineinherited

Scalar sum ( ) const

inherited

Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> toDense ( ) const

inlineinherited

Transpose<CwiseUnaryOp< UnaryOp, MatrixType > > transpose ( )

inlineinherited

const Transpose<const CwiseUnaryOp< UnaryOp, MatrixType > > transpose ( ) const

inlineinherited

const SparseTriangularView<CwiseUnaryOp< UnaryOp, MatrixType > , Mode> triangularView ( ) const

inlineinherited

SparseSymmetricPermutationProduct<CwiseUnaryOp< UnaryOp, MatrixType > ,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

const CwiseUnaryOp<CustomUnaryOp, const CwiseUnaryOp< UnaryOp, MatrixType > > 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

const CwiseUnaryView<CustomViewOp, const CwiseUnaryOp< UnaryOp, MatrixType > > 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

---

Member Data Documentation

bool m_isRValue

protectedinherited

---

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

• SparseCwiseUnaryOp.h