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MappedSparseMatrix< _Scalar, _Flags, _Index > Class Template Reference

Sparse matrix. More...

#include <MappedSparseMatrix.h>

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

List of all members.

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
Index cols () 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 CwiseBinaryOp (operator-)(const Eigen
const CwiseBinaryOp (operator+)(const Eigen
const CwiseBinaryOp
< std::equal_to< Scalar >
, const MappedSparseMatrix
< _Scalar, _Flags, _Index >
, const OtherDerived > 		cwiseEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) 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 CwiseBinaryOp
< internal::scalar_max_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index >, const
OtherDerived > 		cwiseMax (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp
< internal::scalar_max_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index >, const
ConstantReturnType > 		cwiseMax (const Scalar &other) const
const CwiseBinaryOp
< internal::scalar_min_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index >, const
OtherDerived > 		cwiseMin (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp
< internal::scalar_min_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index >, const
ConstantReturnType > 		cwiseMin (const Scalar &other) const
const CwiseBinaryOp
< std::not_equal_to< Scalar >
, const MappedSparseMatrix
< _Scalar, _Flags, _Index >
, const OtherDerived > 		cwiseNotEqual (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp
< internal::scalar_product_op
< typename internal::traits
< MappedSparseMatrix< _Scalar,
_Flags, _Index > >::Scalar,
typename internal::traits
< OtherDerived >::Scalar >
, const MappedSparseMatrix
< _Scalar, _Flags, _Index >
, const OtherDerived > 		cwiseProduct (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseBinaryOp
< internal::scalar_quotient_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index >, const
OtherDerived > 		cwiseQuotient (const Eigen::SparseMatrixBase< OtherDerived > &other) const
const CwiseUnaryOp
< internal::scalar_sqrt_op
< Scalar >, const
MappedSparseMatrix< _Scalar,
_Flags, _Index > > 		cwiseSqrt () const
MappedSparseMatrix< _Scalar,
_Flags, _Index > & 		derived ()
const MappedSparseMatrix
< _Scalar, _Flags, _Index > & 		derived () const
const internal::eval
< MappedSparseMatrix< _Scalar,
_Flags, _Index > >::type 		eval () const
const ImagReturnType imag () const
NonConstImagReturnType imag ()
Index innerSize () const
bool isVector () 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
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
Index outerSize () const
RealReturnType real () const
NonConstRealReturnType real ()
Index rows () 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.
const CwiseUnaryView
< CustomViewOp, const
MappedSparseMatrix< _Scalar,
_Flags, _Index > > 		unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const
 ~MappedSparseMatrix ()

Friends

const
DenseSparseProductReturnType
< OtherDerived,
MappedSparseMatrix< _Scalar,
_Flags, _Index > >::Type 		operator* (const MatrixBase< OtherDerived > &lhs, const MappedSparseMatrix< _Scalar, _Flags, _Index > &rhs)

Detailed Description

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

Sparse matrix.

Parameters:
_Scalarthe 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 ( ) [inline]

Empty destructor

Member Function Documentation

const CwiseBinaryOp<CustomBinaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> binaryExpr ( const Eigen::SparseMatrixBase< OtherDerived > &  other,
const CustomBinaryOp &  func = CustomBinaryOp() 
) const [inline, inherited]
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<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 [inline, inherited]
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
Index cols ( void  ) const [inline]
Returns:
the number of columns.
See also:
rows()

Reimplemented from SparseMatrixBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

ConjugateReturnType conjugate ( ) const [inline, inherited]
Returns:
an expression of the complex conjugate of *this.
See also:
adjoint()
const CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseAbs ( ) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseAbs2 ( ) const [inline, inherited]
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 ( operator-  ) const [inline, inherited]
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-=()
const CwiseBinaryOp ( operator+  ) const [inline, inherited]
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+=()
const CwiseBinaryOp<std::equal_to<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> cwiseEqual ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseEqual ( const Scalar &  s) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseInverse ( ) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> cwiseMax ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > , const ConstantReturnType> cwiseMax ( const Scalar &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> cwiseMin ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > , const ConstantReturnType> cwiseMin ( const Scalar &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> cwiseNotEqual ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 CwiseBinaryOp< internal::scalar_product_op< typename internal::traits< MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar, typename internal::traits< OtherDerived >::Scalar >, const MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived > cwiseProduct ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > , const OtherDerived> cwiseQuotient ( const Eigen::SparseMatrixBase< OtherDerived > &  other) const [inline, inherited]
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 MappedSparseMatrix< _Scalar, _Flags, _Index > > cwiseSqrt ( ) const [inline, inherited]
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()
MappedSparseMatrix< _Scalar, _Flags, _Index > & derived ( ) [inline, inherited]
Returns:
a reference to the derived object
const MappedSparseMatrix< _Scalar, _Flags, _Index > & derived ( ) const [inline, inherited]
Returns:
a const reference to the derived object
const internal::eval<MappedSparseMatrix< _Scalar, _Flags, _Index > >::type eval ( ) const [inline, inherited]
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.

const ImagReturnType imag ( ) const [inline, inherited]
Returns:
an read-only expression of the imaginary part of *this.
See also:
real()
NonConstImagReturnType imag ( ) [inline, inherited]
Returns:
a non const expression of the imaginary part of *this.
See also:
real()
Index 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

Reimplemented from SparseMatrixBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

bool isVector ( ) const [inline, inherited]
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.
Index nonZeros ( ) const [inline]
Returns:
the number of non zero coefficients

Reimplemented from SparseMatrixBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

const ScalarMultipleReturnType operator* ( const Scalar &  scalar) const [inline, inherited]
Returns:
an expression of *this scaled by the scalar factor scalar
const CwiseUnaryOp<internal::scalar_multiple2_op<Scalar,std::complex<Scalar> >, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator* ( const std::complex< Scalar > &  scalar) const [inline, inherited]

Overloaded for efficient real matrix times complex scalar value

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

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

const CwiseUnaryOp<internal::scalar_opposite_op<typename internal::traits<MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator- ( ) const [inline, inherited]
Returns:
an expression of the opposite of *this
const CwiseUnaryOp<internal::scalar_quotient1_op<typename internal::traits<MappedSparseMatrix< _Scalar, _Flags, _Index > >::Scalar>, const MappedSparseMatrix< _Scalar, _Flags, _Index > > operator/ ( const Scalar &  scalar) const [inline, inherited]
Returns:
an expression of *this divided by the scalar value scalar
Index 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

Reimplemented from SparseMatrixBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

RealReturnType real ( ) const [inline, inherited]
Returns:
a read-only expression of the real part of *this.
See also:
imag()
NonConstRealReturnType real ( ) [inline, inherited]
Returns:
a non const expression of the real part of *this.
See also:
imag()
Index rows ( void  ) const [inline]
Returns:
the number of rows.
See also:
cols()

Reimplemented from SparseMatrixBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

Index size ( ) const [inline, inherited]
Returns:
the number of coefficients, which is rows()*cols().
See also:
rows(), cols().

Reimplemented from EigenBase< MappedSparseMatrix< _Scalar, _Flags, _Index > >.

SparseSymmetricPermutationProduct<MappedSparseMatrix< _Scalar, _Flags, _Index > ,Upper|Lower> twistedBy ( const PermutationMatrix< Dynamic, Dynamic, Index > &  perm) const [inline, inherited]
Returns:
an expression of P H P^-1 where H is the matrix represented by *this
const CwiseUnaryOp<CustomUnaryOp, const MappedSparseMatrix< _Scalar, _Flags, _Index > > unaryExpr ( const CustomUnaryOp &  func = CustomUnaryOp()) const [inline, inherited]

Apply a unary operator coefficient-wise.

Parameters:
[in]funcFunctor implementing the unary operator
Template Parameters:
CustomUnaryOpType 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 MappedSparseMatrix< _Scalar, _Flags, _Index > > unaryViewExpr ( const CustomViewOp &  func = CustomViewOp()) const [inline, inherited]
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

Friends And Related Function Documentation

const DenseSparseProductReturnType<OtherDerived,MappedSparseMatrix< _Scalar, _Flags, _Index > >::Type operator* ( const MatrixBase< OtherDerived > &  lhs,
const MappedSparseMatrix< _Scalar, _Flags, _Index > &  rhs 
) [friend, inherited]

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

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