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* coefficient wise operators are more generic, with controllable result type.

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- compatible with current STL's functors as well as with the extention proposal (TR1)
 * thanks to the above, Cast and ScalarMultiple have been removed
 * benchmark_suite is more flexible (compiler and matrix size)
This commit is contained in:
Gael Guennebaud
2008-03-06 11:36:27 +00:00
parent 8e0d548039
commit 138aad0ed0
17 changed files with 257 additions and 338 deletions
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9
doc/examples/class_Cast.cpp
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@@ -3,16 +3,13 @@ USING_PART_OF_NAMESPACE_EIGEN
using namespace std;
template<typename Scalar, typename Derived>
const Eigen::Cast<
typename Eigen::NumTraits<Scalar>::FloatingPoint,
const Eigen::CwiseUnaryOp<
Eigen::ScalarCastOp<typename Eigen::NumTraits<Scalar>::FloatingPoint>,
Derived
>
castToFloatingPoint(const MatrixBase<Scalar, Derived>& m)
{
return Eigen::Cast<
typename Eigen::NumTraits<Scalar>::FloatingPoint,
Derived
>(m.asArg());
return m.template cast<typename Eigen::NumTraits<Scalar>::FloatingPoint>();
}
int main(int, char**)

11
doc/examples/class_CwiseBinaryOp.cpp
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@@ -3,9 +3,9 @@ USING_PART_OF_NAMESPACE_EIGEN
using namespace std;
// define a custom template binary functor
struct CwiseMinOp {
struct CwiseMinOp EIGEN_EMPTY_STRUCT {
template<typename Scalar>
static Scalar op(const Scalar& a, const Scalar& b) { return std::min(a,b); }
Scalar operator()(const Scalar& a, const Scalar& b) const { return std::min(a,b); }
};
// define a custom binary operator between two matrices
@@ -14,14 +14,13 @@ const Eigen::CwiseBinaryOp<CwiseMinOp, Derived1, Derived2>
cwiseMin(const MatrixBase<Scalar, Derived1> &mat1, const MatrixBase<Scalar, Derived2> &mat2)
{
return Eigen::CwiseBinaryOp<CwiseMinOp, Derived1, Derived2>(mat1.asArg(), mat2.asArg());
// Note that the above is equivalent to:
// return mat1.template cwise<CwiseMinOp>(mat2);
}
int main(int, char**)
{
Matrix4d m1 = Matrix4d::random(), m2 = Matrix4d::random();
cout << cwiseMin(m1,m2) << endl; // use our new global operator
cout << m1.cwise<CwiseMinOp>(m2) << endl; // directly use the generic expression member
cout << cwiseMin(m1,m2) << endl; // use our new global operator
cout << m1.cwise<CwiseMinOp>(m2) << endl; // directly use the generic expression member
cout << m1.cwise(m2, CwiseMinOp()) << endl; // directly use the generic expression member (variant)
return 0;
}

17
doc/examples/class_CwiseUnaryOp.cpp Normal file
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@@ -0,0 +1,17 @@
#include <Eigen/Core>
USING_PART_OF_NAMESPACE_EIGEN
using namespace std;
// define a custom template binary functor
template<typename Scalar>
struct CwiseClampOp EIGEN_EMPTY_STRUCT {
CwiseClampOp(const Scalar& inf, const Scalar& sup) : m_inf(inf), m_sup(sup) {}
Scalar operator()(const Scalar& x) const { return x<m_inf ? m_inf : (x>m_sup : m_sup : x); }
};
int main(int, char**)
{
Matrix4d m1 = Matrix4d::random(), m2 = Matrix4d::random();
cout << m1.cwise(m2, CwiseClampOp<Matrix4d::Scalar>(-0.5,0.5)) << endl;
return 0;
}