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Sparse module:

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* extend unit tests
* add support for generic sum reduction and dot product
* optimize the cwise()* : this is a special case of CwiseBinaryOp where
  we only have to process the coeffs which are not null for *both* matrices.
  Perhaps there exist some other binary operations like that ?
This commit is contained in:
Gael Guennebaud
2009-01-07 17:01:57 +00:00
parent 7078cfaeaa
commit 709e903335
9 changed files with 382 additions and 39 deletions
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43
Eigen/src/Sparse/SparseMatrixBase.h
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@@ -167,6 +167,49 @@ class SparseMatrixBase : public MatrixBase<Derived>
return s;
}
// template<typename OtherDerived>
// Scalar dot(const MatrixBase<OtherDerived>& other) const
// {
// EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
// EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
// EIGEN_STATIC_ASSERT((ei_is_same_type<Scalar, typename OtherDerived::Scalar>::ret),
// YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
//
// ei_assert(derived().size() == other.size());
// // short version, but the assembly looks more complicated because
// // of the CwiseBinaryOp iterator complexity
// // return res = (derived().cwise() * other.derived().conjugate()).sum();
//
// // optimized, generic version
// typename Derived::InnerIterator i(derived(),0);
// typename OtherDerived::InnerIterator j(other.derived(),0);
// Scalar res = 0;
// while (i && j)
// {
// if (i.index()==j.index())
// {
// // std::cerr << i.value() << " * " << j.value() << "\n";
// res += i.value() * ei_conj(j.value());
// ++i; ++j;
// }
// else if (i.index()<j.index())
// ++i;
// else
// ++j;
// }
// return res;
// }
//
// Scalar sum() const
// {
// Scalar res = 0;
// for (typename Derived::InnerIterator iter(*this,0); iter; ++iter)
// {
// res += iter.value();
// }
// return res;
// }
protected:
bool m_isRValue;