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Implement evaluators for sparse * sparse with auto pruning.

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This commit is contained in:
Gael Guennebaud
2014-07-01 13:18:56 +02:00
parent 441f97b2df
commit 746d2db6ed
5 changed files with 120 additions and 4 deletions
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26
Eigen/src/SparseCore/SparseView.h
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@@ -233,10 +233,30 @@ struct unary_evaluator<SparseView<ArgType>, IndexBased>
#endif // EIGEN_TEST_EVALUATORS
template<typename Derived>
const SparseView<Derived> MatrixBase<Derived>::sparseView(const Scalar& m_reference,
const typename NumTraits<Scalar>::Real& m_epsilon) const
const SparseView<Derived> MatrixBase<Derived>::sparseView(const Scalar& reference,
const typename NumTraits<Scalar>::Real& epsilon) const
{
return SparseView<Derived>(derived(), m_reference, m_epsilon);
return SparseView<Derived>(derived(), reference, epsilon);
}
/** \returns an expression of \c *this with values smaller than
* \a reference * \a epsilon are removed.
*
* This method is typically used in conjunction with the product of two sparse matrices
* to automatically prune the smallest values as follows:
* \code
* C = (A*B).pruned(); // suppress numerical zeros (exact)
* C = (A*B).pruned(ref);
* C = (A*B).pruned(ref,epsilon);
* \endcode
* where \c ref is a meaningful non zero reference value.
* */
template<typename Derived>
const SparseView<Derived>
SparseMatrixBase<Derived>::pruned(const Scalar& reference,
const RealScalar& epsilon) const
{
return SparseView<Derived>(derived(), reference, epsilon);
}
} // end namespace Eigen