mirror of
https://github.com/triqs/dft_tools
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87 lines
3.8 KiB
C++
87 lines
3.8 KiB
C++
/*******************************************************************************
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*
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* TRIQS: a Toolbox for Research in Interacting Quantum Systems
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*
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* Copyright (C) 2011 by O. Parcollet
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*
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* TRIQS is free software: you can redistribute it and/or modify it under the
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* terms of the GNU General Public License as published by the Free Software
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* Foundation, either version 3 of the License, or (at your option) any later
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* version.
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*
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* TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
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* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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* details.
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*
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* You should have received a copy of the GNU General Public License along with
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* TRIQS. If not, see <http://www.gnu.org/licenses/>.
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*
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******************************************************************************/
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#ifndef TRIQS_ARRAYS_EXPRESSION_A_X_TY_H
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#define TRIQS_ARRAYS_EXPRESSION_A_X_TY_H
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#include <boost/type_traits/is_same.hpp>
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#include <boost/typeof/typeof.hpp>
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#include "../matrix.hpp"
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#include "../vector.hpp"
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#include "../blas_lapack/ger.hpp"
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namespace triqs { namespace arrays {
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///
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template<typename ScalarType, typename VectorType1, typename VectorType2> class a_x_ty_lazy;
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///
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template<typename ScalarType, typename VectorType1, typename VectorType2>
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a_x_ty_lazy<ScalarType,VectorType1,VectorType2> a_x_ty (ScalarType a, VectorType1 const & x, VectorType2 const & y)
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{ return a_x_ty_lazy<ScalarType,VectorType1,VectorType2>(a,x,y); }
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//------------- IMPLEMENTATION -----------------------------------
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template<typename ScalarType, typename VectorType1, typename VectorType2>
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class a_x_ty_lazy : TRIQS_CONCEPT_TAG_NAME(ImmutableMatrix) {
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typedef typename boost::remove_const<typename VectorType1::value_type>::type V1;
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typedef typename boost::remove_const<typename VectorType2::value_type>::type V2;
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static_assert((boost::is_same<V1,V2>::value),"Different values : not implemented");
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public:
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typedef BOOST_TYPEOF_TPL( V1() * V2() * ScalarType()) value_type;
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typedef indexmaps::cuboid::domain_t<2> domain_type;
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typedef typename const_view_type_if_exists_else_type<VectorType1>::type X_type;
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typedef typename const_view_type_if_exists_else_type<VectorType2>::type Y_type;
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const ScalarType a; const X_type x; const Y_type y;
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public:
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a_x_ty_lazy( ScalarType a_, VectorType1 const & x_, VectorType2 const & y_):a(a_),x(x_),y(y_){}
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domain_type domain() const { return domain_type(mini_vector<size_t,2>(x.size(), y.size()));}
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template<typename K0, typename K1> value_type operator() (K0 const & k0, K1 const & k1) const { return a * x(k0) * y(k1); }
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// Optimized implementation of =
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template<typename LHS>
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friend void triqs_arrays_assign_delegation (LHS & lhs, a_x_ty_lazy const & rhs) {
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resize_or_check_if_view(lhs,make_shape( first_dim(rhs),second_dim(rhs) ));
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lhs()=0;
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blas::ger(rhs.a,rhs.x, rhs.y, lhs);
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}
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//Optimized implementation of +=
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template<typename LHS>
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friend void triqs_arrays_compound_assign_delegation (LHS & lhs, a_x_ty_lazy const & rhs, mpl::char_<'A'>) {
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static_assert((is_matrix_or_view<LHS>::value), "LHS is not a matrix or a matrix_view"); // check that the target is indeed a matrix.
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blas::ger(rhs.a, rhs.x, rhs.y, lhs);
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}
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//Optimized implementation of -=
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template<typename LHS>
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friend void triqs_arrays_compound_assign_delegation (LHS & lhs, a_x_ty_lazy const & rhs, mpl::char_<'S'>) {
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static_assert((is_matrix_or_view<LHS>::value), "LHS is not a matrix or a matrix_view"); // check that the target is indeed a matrix.
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blas::ger(- rhs.a, rhs.x, rhs.y, lhs);
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}
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friend std::ostream & operator<<(std::ostream & out, a_x_ty_lazy const & a){ return out<<"a_x_ty("<<a.a<<","<<a.x<<","<<a.y<<")";}
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};
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}} // namespace triqs_arrays
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#endif
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