// This file is part of Eigen, a lightweight C++ template library // for linear algebra. Eigen itself is part of the KDE project. // // Copyright (C) 2009 Gael Guennebaud // // Eigen is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public // License as published by the Free Software Foundation; either // version 3 of the License, or (at your option) any later version. // // Alternatively, you can redistribute it and/or // modify it under the terms of the GNU General Public License as // published by the Free Software Foundation; either version 2 of // the License, or (at your option) any later version. // // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the // GNU General Public License for more details. // // You should have received a copy of the GNU Lesser General Public // License and a copy of the GNU General Public License along with // Eigen. If not, see . #ifndef EIGEN_SPARSE_DIAGONAL_PRODUCT_H #define EIGEN_SPARSE_DIAGONAL_PRODUCT_H // the product a diagonal matrix with a sparse matrix can be easily // implemented using expression template. We have two very different cases: // 1 - diag * row-major sparse // => each inner vector <=> scalar * sparse vector product // => so we can reuse CwiseUnaryOp::InnerIterator // 2 - diag * col-major sparse // => each inner vector <=> densevector * sparse vector cwise product // => again, we can reuse specialization of CwiseBinaryOp::InnerIterator // for that particular case // The two other cases are symmetric. template struct ei_traits > : ei_traits > { typedef typename ei_cleantype::type _Lhs; typedef typename ei_cleantype::type _Rhs; enum { SparseFlags = ((int(_Lhs::Flags)&Diagonal)==Diagonal) ? int(_Rhs::Flags) : int(_Lhs::Flags), Flags = SparseBit | (SparseFlags&RowMajorBit) }; }; enum {SDP_IsDiagonal, SDP_IsSparseRowMajor, SDP_IsSparseColMajor}; template class ei_sparse_diagonal_product_inner_iterator_selector; template class SparseDiagonalProduct : public SparseMatrixBase >, ei_no_assignment_operator { typedef typename ei_traits::_LhsNested _LhsNested; typedef typename ei_traits::_RhsNested _RhsNested; enum { LhsMode = (_LhsNested::Flags&Diagonal)==Diagonal ? SDP_IsDiagonal : (_LhsNested::Flags&RowMajorBit) ? SDP_IsSparseRowMajor : SDP_IsSparseColMajor, RhsMode = (_RhsNested::Flags&Diagonal)==Diagonal ? SDP_IsDiagonal : (_RhsNested::Flags&RowMajorBit) ? SDP_IsSparseRowMajor : SDP_IsSparseColMajor }; public: EIGEN_SPARSE_GENERIC_PUBLIC_INTERFACE(SparseDiagonalProduct) typedef ei_sparse_diagonal_product_inner_iterator_selector <_LhsNested,_RhsNested,SparseDiagonalProduct,LhsMode,RhsMode> InnerIterator; template EIGEN_STRONG_INLINE SparseDiagonalProduct(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs) { ei_assert(lhs.cols() == rhs.rows() && "invalid sparse matrix * diagonal matrix product"); } EIGEN_STRONG_INLINE int rows() const { return m_lhs.rows(); } EIGEN_STRONG_INLINE int cols() const { return m_rhs.cols(); } EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; } EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; } protected: LhsNested m_lhs; RhsNested m_rhs; }; template class ei_sparse_diagonal_product_inner_iterator_selector : public SparseCwiseUnaryOp,Rhs>::InnerIterator { typedef typename SparseCwiseUnaryOp,Rhs>::InnerIterator Base; public: inline ei_sparse_diagonal_product_inner_iterator_selector( const SparseDiagonalProductType& expr, int outer) : Base(expr.rhs()*(expr.lhs().diagonal().coeff(outer)), outer) {} }; template class ei_sparse_diagonal_product_inner_iterator_selector : public SparseCwiseBinaryOp< ei_scalar_product_op, SparseInnerVectorSet, typename Lhs::_CoeffsVectorType>::InnerIterator { typedef typename SparseCwiseBinaryOp< ei_scalar_product_op, SparseInnerVectorSet, typename Lhs::_CoeffsVectorType>::InnerIterator Base; public: inline ei_sparse_diagonal_product_inner_iterator_selector( const SparseDiagonalProductType& expr, int outer) : Base(expr.rhs().innerVector(outer) .cwise()* expr.lhs().diagonal(), 0) {} private: ei_sparse_diagonal_product_inner_iterator_selector& operator=(const ei_sparse_diagonal_product_inner_iterator_selector&); }; template class ei_sparse_diagonal_product_inner_iterator_selector : public SparseCwiseUnaryOp,Lhs>::InnerIterator { typedef typename SparseCwiseUnaryOp,Lhs>::InnerIterator Base; public: inline ei_sparse_diagonal_product_inner_iterator_selector( const SparseDiagonalProductType& expr, int outer) : Base(expr.lhs()*expr.rhs().diagonal().coeff(outer), outer) {} }; template class ei_sparse_diagonal_product_inner_iterator_selector : public SparseCwiseBinaryOp< ei_scalar_product_op, SparseInnerVectorSet, NestByValue > >::InnerIterator { typedef typename SparseCwiseBinaryOp< ei_scalar_product_op, SparseInnerVectorSet, NestByValue > >::InnerIterator Base; public: inline ei_sparse_diagonal_product_inner_iterator_selector( const SparseDiagonalProductType& expr, int outer) : Base(expr.lhs().innerVector(outer) .cwise()* expr.rhs().diagonal().transpose().nestByValue(), 0) {} }; #endif // EIGEN_SPARSE_DIAGONAL_PRODUCT_H