Oskar Weigl
/
Eurobot2013
We are going to win! wohoo
tvmet/meta/Gemtm.h
- Committer:
- madcowswe
- Date:
- 2012-11-14
- Revision:
- 9:08552997b544
- Parent:
- 1:6799c07fe510
File content as of revision 9:08552997b544:
/* * Tiny Vector Matrix Library * Dense Vector Matrix Libary of Tiny size using Expression Templates * * Copyright (C) 2001 - 2007 Olaf Petzold <opetzold@users.sourceforge.net> * * This library 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 2.1 of the License, or (at your option) any later version. * * This library 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 for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA * * $Id: Gemtm.h,v 1.12 2007-06-23 15:58:59 opetzold Exp $ */ #ifndef TVMET_META_GEMTM_H #define TVMET_META_GEMTM_H #include <tvmet/xpr/Null.h> namespace tvmet { namespace meta { /** * \class gemtm Gemtm.h "tvmet/meta/Gemtm.h" * \brief Meta class for trans(matrix)-matrix operations, like product. * using formula * \f[ * M_1^{T}\,M_2 * \f] * \note The number of cols of matrix 2 have to be equal to number of rows of * matrix 1, since matrix 1 is transposed - the result is a (Cols1 x Cols2) * matrix. */ template<std::size_t Rows1, std::size_t Cols1, std::size_t Cols2, std::size_t K> class gemtm { private: gemtm(); gemtm(const gemtm&); gemtm& operator=(const gemtm&); private: enum { doIt = (K != Rows1 - 1) /**< recursive counter */ }; public: template<class E1, class E2> static inline typename PromoteTraits< typename E1::value_type, typename E2::value_type >::value_type prod(const E1& lhs, const E2& rhs, std::size_t i, std::size_t j) { return lhs(K, i) * rhs(K, j) + gemtm<Rows1 * doIt, Cols1 * doIt, Cols2 * doIt, (K+1) * doIt>::prod(lhs, rhs, i, j); } }; /** * \class gemtm<0,0,0,0> Gemtm.h "tvmet/meta/Gemtm.h" * \brief gemtm Specialized for recursion. */ template<> class gemtm<0,0,0,0> { gemtm(); gemtm(const gemtm&); gemtm& operator=(const gemtm&); public: template<class E1, class E2> static inline XprNull prod(const E1&, const E2&, std::size_t, std::size_t) { return XprNull(); } }; } // namespace meta } // namespace tvmet #endif /* TVMET_META_GEMTM_H */ // Local Variables: // mode:C++ // tab-width:8 // End: