mirror of
https://gitlab.com/libeigen/eigen.git
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3036eeca0a
release of tvmet (inactive for 2 years and developer unreachable) as the basis for eigen2, because it provides seemingly good expression template mechanisms, we want that, and it would take years to reinvent that wheel. We'll see. So this commit imports the last tvmet release.
103 lines
2.5 KiB
C++
103 lines
2.5 KiB
C++
/*
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* Tiny Vector Matrix Library
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* Dense Vector Matrix Libary of Tiny size using Expression Templates
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*
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* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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* $Id: Gemmt.h,v 1.9 2004/06/17 15:53:12 opetzold Exp $
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*/
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#ifndef TVMET_META_GEMMT_H
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#define TVMET_META_GEMMT_H
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#include <tvmet/xpr/Null.h>
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namespace tvmet {
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namespace meta {
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/**
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* \class gemmt Gemmt.h "tvmet/meta/Gemmt.h"
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* \brief Meta class for product matrix-transpose(matrix) operations.
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* using formula
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* \f[
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* M_1\,M_2^{T}
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* \f]
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* \note The rows of matrix 2 have to be equal to cols of matrix 1. The result
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* is a rows1 * cols2 matrix.
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*/
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template<std::size_t Rows1, std::size_t Cols1,
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std::size_t Cols2,
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std::size_t K>
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class gemmt
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{
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gemmt();
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gemmt(const gemmt&);
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gemmt& operator=(const gemmt&);
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private:
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enum {
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doIt = (K != Cols2 - 1) /**< recursive counter */
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};
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public:
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template<class E1, class E2>
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static inline
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typename PromoteTraits<
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typename E1::value_type,
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typename E2::value_type
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>::value_type
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prod(const E1& lhs, const E2& rhs, std::size_t i, std::size_t j) {
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return lhs(i, K) * rhs(j, K)
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+ gemmt<Rows1 * doIt, Cols1 * doIt,
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Cols2 * doIt,
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(K+1) * doIt>::prod(lhs, rhs, i, j);
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}
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};
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/**
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* \class gemmt<0,0,0,0> Gemmt.h "tvmet/meta/Gemmt.h"
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* \brief gemmt Specialized for recursion.
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*/
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template<>
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class gemmt<0,0,0,0>
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{
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gemmt();
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gemmt(const gemmt&);
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gemmt& operator=(const gemmt&);
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public:
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template<class E1, class E2>
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static inline
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XprNull prod(const E1&, const E2&, std::size_t, std::size_t) {
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return XprNull();
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}
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};
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} // namespace meta
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} // namespace tvmet
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#endif /* TVMET_META_GEMMT_H */
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// Local Variables:
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// mode:C++
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// End:
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