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-rw-r--r--Eigen/src/SparseCore/SparseProduct.h14
1 files changed, 13 insertions, 1 deletions
diff --git a/Eigen/src/SparseCore/SparseProduct.h b/Eigen/src/SparseCore/SparseProduct.h
index 4cbf68781..af8a7744d 100644
--- a/Eigen/src/SparseCore/SparseProduct.h
+++ b/Eigen/src/SparseCore/SparseProduct.h
@@ -17,7 +17,7 @@ namespace Eigen {
* 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:
* \code
- * C = (A*B).pruned(); // supress numerical zeros (exact)
+ * C = (A*B).pruned(); // suppress numerical zeros (exact)
* C = (A*B).pruned(ref);
* C = (A*B).pruned(ref,epsilon);
* \endcode
@@ -164,6 +164,18 @@ protected:
} // end namespace internal
+// sparse matrix = sparse-product (can be sparse*sparse, sparse*perm, etc.)
+template<typename Scalar, int _Options, typename _StorageIndex>
+template<typename Lhs, typename Rhs>
+SparseMatrix<Scalar,_Options,_StorageIndex>& SparseMatrix<Scalar,_Options,_StorageIndex>::operator=(const Product<Lhs,Rhs,AliasFreeProduct>& src)
+{
+ // std::cout << "in Assignment : " << DstOptions << "\n";
+ SparseMatrix dst(src.rows(),src.cols());
+ internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
+ this->swap(dst);
+ return *this;
+}
+
} // end namespace Eigen
#endif // EIGEN_SPARSEPRODUCT_H