mirror of
https://github.com/triqs/dft_tools
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f2c7d449cc
for earlier commits, see TRIQS0.x repository.
86 lines
3.6 KiB
C++
86 lines
3.6 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) 2013 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_MATRIX_STACK_VIEW_H
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#define TRIQS_ARRAYS_MATRIX_STACK_VIEW_H
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#include "./array.hpp"
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#include "./matrix.hpp"
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#include "./matrix_view_proxy.hpp"
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#include <triqs/arrays/linalg/inverse.hpp>
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namespace triqs { namespace arrays {
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template<typename T> class matrix_stack_view {
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public:
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typedef array_view<T,3> array_view_t;
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matrix_stack_view( typename array_view_t::view_type const & a_):a(a_) {}
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matrix_stack_view( array_view_t && a_):a(std::move(a_)) {}
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#ifdef TRIQS_WITH_PYTHON_SUPPORT
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/// Build from a numpy.array (X is a borrowed reference) : throws if X is not a numpy.array
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explicit matrix_stack_view (PyObject * X):a(typename array_view_t::view_type (X)){}
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#endif
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matrix_view_proxy <array_view_t,0> operator()(size_t i) { return matrix_view_proxy <array_view_t,0>(a,i);}
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const_matrix_view_proxy<array_view_t,0> operator()(size_t i) const { return const_matrix_view_proxy <array_view_t,0>(a,i);}
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matrix_view<T> view(size_t i) const { return a(i,range(),range());}
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size_t size() const { return a.len(0);}
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size_t dim0() const { return a.len(1);}
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size_t dim1() const { return a.len(2);}
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matrix_stack_view & operator +=(matrix_stack_view const & arg) { a += arg.a; return *this; }
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matrix_stack_view & operator -=(matrix_stack_view const & arg) { a -= arg.a; return *this; }
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template<typename RHS>
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typename std::enable_if<RHS::rank ==2, matrix_stack_view &>::type
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operator +=(RHS const & arg) { for (size_t i=0; i<size(); ++i) view(i) +=arg; return *this; }
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template<typename RHS>
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typename std::enable_if<RHS::rank ==2, matrix_stack_view &>::type
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operator -=(RHS const & arg) { for (size_t i=0; i<size(); ++i) view(i) -=arg; return *this; }
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template<typename RHS> matrix_stack_view & operator *=(RHS const & arg) { a*= arg; return *this; }
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template<typename RHS> matrix_stack_view & operator /=(RHS const & arg) { a/= arg; return *this; }
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void invert() {for (size_t i=0; i<size(); ++i) { auto v = view(i); v = inverse(v);} }
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friend matrix_stack_view matmul_L_R ( matrix_view<T> const & L, matrix_stack_view const & M, matrix_view<T> const & R) {
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matrix_stack_view res (typename array_view_t::non_view_type (M.size(), L.dim0(), R.dim1()));
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for (size_t i=0; i<M.size(); ++i) { res.view(i) = L * M.view(i) * R; }
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return res;
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}
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void onsite_matmul_L_R ( matrix_view<T> const & L, matrix_stack_view const & M, matrix_view<T> const & R) {
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if ((dim0() != L.dim0()) || (dim1() != R.dim1()) || (L.dim1() != R.dim0()))
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TRIQS_RUNTIME_ERROR << "dimensions do not match!";
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for (size_t i=0; i<M.size(); ++i) { view(i) = L * M.view(i) * R; }
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}
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private:
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array_view_t a;
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};
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}}
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#endif
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