This is the Tiny Vector Matrix Expression Templates library found at http://tvmet.sourceforge.net. It is the fastest and most compact matrix lib out there (for < 10x10 matricies). I have done some minor tweaks to make it compile for mbed. For examples and hints on how to use, see: http://tvmet.sourceforge.net/usage.html

Dependents:   Eurobot_2012_Secondary

Committer:
madcowswe
Date:
Wed Mar 28 15:53:45 2012 +0000
Revision:
0:feb4117d16d8

        

Who changed what in which revision?

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madcowswe 0:feb4117d16d8 1 /*
madcowswe 0:feb4117d16d8 2 * Tiny Vector Matrix Library
madcowswe 0:feb4117d16d8 3 * Dense Vector Matrix Libary of Tiny size using Expression Templates
madcowswe 0:feb4117d16d8 4 *
madcowswe 0:feb4117d16d8 5 * Copyright (C) 2001 - 2007 Olaf Petzold <opetzold@users.sourceforge.net>
madcowswe 0:feb4117d16d8 6 *
madcowswe 0:feb4117d16d8 7 * This library is free software; you can redistribute it and/or
madcowswe 0:feb4117d16d8 8 * modify it under the terms of the GNU Lesser General Public
madcowswe 0:feb4117d16d8 9 * License as published by the Free Software Foundation; either
madcowswe 0:feb4117d16d8 10 * version 2.1 of the License, or (at your option) any later version.
madcowswe 0:feb4117d16d8 11 *
madcowswe 0:feb4117d16d8 12 * This library is distributed in the hope that it will be useful,
madcowswe 0:feb4117d16d8 13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
madcowswe 0:feb4117d16d8 14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
madcowswe 0:feb4117d16d8 15 * Lesser General Public License for more details.
madcowswe 0:feb4117d16d8 16 *
madcowswe 0:feb4117d16d8 17 * You should have received a copy of the GNU Lesser General Public
madcowswe 0:feb4117d16d8 18 * License along with this library; if not, write to the Free Software
madcowswe 0:feb4117d16d8 19 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
madcowswe 0:feb4117d16d8 20 *
madcowswe 0:feb4117d16d8 21 * $Id: General.h,v 1.13 2007-06-23 15:58:59 opetzold Exp $
madcowswe 0:feb4117d16d8 22 */
madcowswe 0:feb4117d16d8 23
madcowswe 0:feb4117d16d8 24 #ifndef TVMET_UTIL_GENERAL_H
madcowswe 0:feb4117d16d8 25 #define TVMET_UTIL_GENERAL_H
madcowswe 0:feb4117d16d8 26
madcowswe 0:feb4117d16d8 27
madcowswe 0:feb4117d16d8 28 /** forward */
madcowswe 0:feb4117d16d8 29 namespace tvmet {
madcowswe 0:feb4117d16d8 30 template<class T, std::size_t Rows, std::size_t Cols> class Matrix;
madcowswe 0:feb4117d16d8 31 template<class T, std::size_t Sz> class Vector;
madcowswe 0:feb4117d16d8 32 }
madcowswe 0:feb4117d16d8 33
madcowswe 0:feb4117d16d8 34 namespace tvmet {
madcowswe 0:feb4117d16d8 35
madcowswe 0:feb4117d16d8 36 namespace util {
madcowswe 0:feb4117d16d8 37
madcowswe 0:feb4117d16d8 38 /*
madcowswe 0:feb4117d16d8 39 * \defgroup _util_function
madcowswe 0:feb4117d16d8 40 * \brief Usefull utility functions
madcowswe 0:feb4117d16d8 41 */
madcowswe 0:feb4117d16d8 42
madcowswe 0:feb4117d16d8 43 /**
madcowswe 0:feb4117d16d8 44 * \fn Gemm(const Matrix<T, Rows, Cols>& m1, const Matrix<T, Rows, Cols>& m2, Matrix<T, Rows, Cols>& m3)
madcowswe 0:feb4117d16d8 45 * \brief General matrix matrix multiplication using loops.
madcowswe 0:feb4117d16d8 46 * \ingroup _util_function
madcowswe 0:feb4117d16d8 47 */
madcowswe 0:feb4117d16d8 48 template<class T, std::size_t Rows, std::size_t Cols>
madcowswe 0:feb4117d16d8 49 inline
madcowswe 0:feb4117d16d8 50 void
madcowswe 0:feb4117d16d8 51 Gemm(const Matrix<T, Rows, Cols>& m1, const Matrix<T, Rows, Cols>& m2,
madcowswe 0:feb4117d16d8 52 Matrix<T, Rows, Cols>& m3)
madcowswe 0:feb4117d16d8 53 {
madcowswe 0:feb4117d16d8 54 for (std::size_t i = 0; i < Rows; ++i) {
madcowswe 0:feb4117d16d8 55 for (std::size_t j = 0; j < Cols; ++j) {
madcowswe 0:feb4117d16d8 56 T sum(0);
madcowswe 0:feb4117d16d8 57 for (std::size_t k = 0; k < Cols; ++k) {
madcowswe 0:feb4117d16d8 58 sum += m1(i,k) * m2(k,j);
madcowswe 0:feb4117d16d8 59 }
madcowswe 0:feb4117d16d8 60 m3(i,j) = sum;
madcowswe 0:feb4117d16d8 61 }
madcowswe 0:feb4117d16d8 62 }
madcowswe 0:feb4117d16d8 63 }
madcowswe 0:feb4117d16d8 64
madcowswe 0:feb4117d16d8 65
madcowswe 0:feb4117d16d8 66 /**
madcowswe 0:feb4117d16d8 67 * \fn Gemv(const Matrix<T, Rows, Cols>& m, const Vector<T, Cols>& v, Vector<T, Cols>& v2)
madcowswe 0:feb4117d16d8 68 * \brief General matrix vector multiplication using loops.
madcowswe 0:feb4117d16d8 69 * \ingroup _util_function
madcowswe 0:feb4117d16d8 70 */
madcowswe 0:feb4117d16d8 71 template<class T, std::size_t Rows, std::size_t Cols>
madcowswe 0:feb4117d16d8 72 inline
madcowswe 0:feb4117d16d8 73 void
madcowswe 0:feb4117d16d8 74 Gemv(const Matrix<T, Rows, Cols>& m, const Vector<T, Cols>& v,
madcowswe 0:feb4117d16d8 75 Vector<T, Cols>& v2)
madcowswe 0:feb4117d16d8 76 {
madcowswe 0:feb4117d16d8 77 for (std::size_t i = 0; i < Rows; ++i){
madcowswe 0:feb4117d16d8 78 v2(i) = T(0); // clean up before use
madcowswe 0:feb4117d16d8 79 for (std::size_t j = 0; j < Cols; ++j) {
madcowswe 0:feb4117d16d8 80 v2(i) += m(i,j) * v(j);
madcowswe 0:feb4117d16d8 81 }
madcowswe 0:feb4117d16d8 82 }
madcowswe 0:feb4117d16d8 83 }
madcowswe 0:feb4117d16d8 84
madcowswe 0:feb4117d16d8 85
madcowswe 0:feb4117d16d8 86 /**
madcowswe 0:feb4117d16d8 87 * \fn Gevvmul(const Vector<T, Sz>& v1, const Vector<T, Sz>& v2, Vector<T, Sz>& v3)
madcowswe 0:feb4117d16d8 88 * \brief General vector vector elementwise multiplication using loop.
madcowswe 0:feb4117d16d8 89 * \ingroup _util_function
madcowswe 0:feb4117d16d8 90 */
madcowswe 0:feb4117d16d8 91 template<class T, std::size_t Sz>
madcowswe 0:feb4117d16d8 92 inline
madcowswe 0:feb4117d16d8 93 void
madcowswe 0:feb4117d16d8 94 Gevvmul(const Vector<T, Sz>& v1, const Vector<T, Sz>& v2,
madcowswe 0:feb4117d16d8 95 Vector<T, Sz>& v3)
madcowswe 0:feb4117d16d8 96 {
madcowswe 0:feb4117d16d8 97 for(std::size_t i = 0; i < Sz; ++i)
madcowswe 0:feb4117d16d8 98 v3(i) = v1(i) * v2(i);
madcowswe 0:feb4117d16d8 99 }
madcowswe 0:feb4117d16d8 100
madcowswe 0:feb4117d16d8 101
madcowswe 0:feb4117d16d8 102 /**
madcowswe 0:feb4117d16d8 103 * \fn Gevvadd(const Vector<T, Sz>& v1, const Vector<T, Sz>& v2, Vector<T, Sz>& v3)
madcowswe 0:feb4117d16d8 104 * \brief General vector vector elementwise multiplication using loop.
madcowswe 0:feb4117d16d8 105 * \ingroup _util_function
madcowswe 0:feb4117d16d8 106 */
madcowswe 0:feb4117d16d8 107 template<class T, std::size_t Sz>
madcowswe 0:feb4117d16d8 108 inline
madcowswe 0:feb4117d16d8 109 void
madcowswe 0:feb4117d16d8 110 Gevvadd(const Vector<T, Sz>& v1, const Vector<T, Sz>& v2,
madcowswe 0:feb4117d16d8 111 Vector<T, Sz>& v3)
madcowswe 0:feb4117d16d8 112 {
madcowswe 0:feb4117d16d8 113 for(std::size_t i = 0; i < Sz; ++i)
madcowswe 0:feb4117d16d8 114 v3(i) = v1(i) + v2(i);
madcowswe 0:feb4117d16d8 115 }
madcowswe 0:feb4117d16d8 116
madcowswe 0:feb4117d16d8 117 } // namespace util
madcowswe 0:feb4117d16d8 118
madcowswe 0:feb4117d16d8 119 } // namespace tvmet
madcowswe 0:feb4117d16d8 120
madcowswe 0:feb4117d16d8 121 #endif // TVMET_UTIL_GENERAL_H
madcowswe 0:feb4117d16d8 122
madcowswe 0:feb4117d16d8 123 // Local Variables:
madcowswe 0:feb4117d16d8 124 // mode:C++
madcowswe 0:feb4117d16d8 125 // tab-width:8
madcowswe 0:feb4117d16d8 126 // End: