/******************************************************************************* * * TRIQS: a Toolbox for Research in Interacting Quantum Systems * * Copyright (C) 2011 by O. Parcollet * * TRIQS is free software: 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 3 of the License, or (at your option) any later * version. * * TRIQS 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 General Public License for more * details. * * You should have received a copy of the GNU General Public License along with * TRIQS. If not, see . * ******************************************************************************/ #ifndef TRIQS_ARRAYS_EXPRESSION_MAT_VEC_MUL_H #define TRIQS_ARRAYS_EXPRESSION_MAT_VEC_MUL_H #include #include #include "../matrix.hpp" #include "../vector.hpp" #include "../blas_lapack/gemv.hpp" namespace triqs { namespace arrays { /// template class mat_vec_mul_lazy; /// template mat_vec_mul_lazy mat_vec_mul (MT const & a, VT const & b) { return mat_vec_mul_lazy(a,b); } // ----------------- implementation ----------------------------------------- template class mat_vec_mul_lazy : TRIQS_CONCEPT_TAG_NAME(ImmutableVector) { typedef typename MT::value_type V1; typedef typename VT::value_type V2; //static_assert((boost::is_same::value),"Different values : not implemented"); public: typedef BOOST_TYPEOF_TPL( V1() * V2()) value_type; typedef typename VT::domain_type domain_type; typedef typename const_view_type_if_exists_else_type::type M_type; typedef typename const_view_type_if_exists_else_type::type V_type; const M_type M; const V_type V; private: typedef vector vector_type; struct internal_data { vector_type R; internal_data(mat_vec_mul_lazy const & P): R( first_dim(P.M) ) { blas::gemv(1,P.M,P.V,0,R); } }; friend struct internal_data; mutable std::shared_ptr _id; void activate() const { if (!_id) _id= std::make_shared(*this);} public: mat_vec_mul_lazy( MT const & M_, VT const & V_):M(M_),V(V_){ if (second_dim(M) != V.size()) TRIQS_RUNTIME_ERROR<< "Matrix product : dimension mismatch in Matrix*Vector "<< M<<" "<< V; } domain_type domain() const { return mini_vector(size());} //domain_type domain() const { return indexmaps::cuboid::domain_t<1>(mini_vector(size()));} size_t size() const { return first_dim(M);} template value_type operator() (KeyType const & key) const { activate(); return _id->R (key); } template // Optimized implementation of = friend void triqs_arrays_assign_delegation (LHS & lhs, mat_vec_mul_lazy const & rhs) { static_assert((is_vector_or_view::value), "LHS is not a vector or a vector_view"); resize_or_check_if_view(lhs,make_shape(rhs.size())); blas::gemv(1,rhs.M,rhs.V,0,lhs); } template friend void triqs_arrays_compound_assign_delegation (LHS & lhs, mat_vec_mul_lazy const & rhs, mpl::char_<'A'>) { rhs.assign_comp_impl(lhs,1.0);} template friend void triqs_arrays_compound_assign_delegation (LHS & lhs, mat_vec_mul_lazy const & rhs, mpl::char_<'S'>) { rhs.assign_comp_impl(lhs,-1.0);} private: template void assign_comp_impl (LHS & lhs, double S) const { static_assert((is_vector_or_view::value), "LHS is not a vector or a vector_view"); if (lhs.size() != size()) TRIQS_RUNTIME_ERROR<< "mat_vec_mul : -=/-= operator : size mismatch in M*V "<< lhs.size()<<" vs "<< size(); blas::gemv(1,M,V,S,lhs); } friend std::ostream & operator<<(std::ostream & out, mat_vec_mul_lazy const & x){ return out<<"mat_vec_mul("<