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: Vector.h,v 1.24 2007-06-23 15:58:59 opetzold Exp $
madcowswe 0:feb4117d16d8 22 */
madcowswe 0:feb4117d16d8 23
madcowswe 0:feb4117d16d8 24 #ifndef TVMET_META_VECTOR_H
madcowswe 0:feb4117d16d8 25 #define TVMET_META_VECTOR_H
madcowswe 0:feb4117d16d8 26
madcowswe 0:feb4117d16d8 27 #include <tvmet/NumericTraits.h>
madcowswe 0:feb4117d16d8 28 #include <tvmet/xpr/Null.h>
madcowswe 0:feb4117d16d8 29
madcowswe 0:feb4117d16d8 30 namespace tvmet {
madcowswe 0:feb4117d16d8 31
madcowswe 0:feb4117d16d8 32 /* forwards */
madcowswe 0:feb4117d16d8 33 template<class T, std::size_t Sz> class Vector;
madcowswe 0:feb4117d16d8 34
madcowswe 0:feb4117d16d8 35
madcowswe 0:feb4117d16d8 36 namespace meta {
madcowswe 0:feb4117d16d8 37
madcowswe 0:feb4117d16d8 38
madcowswe 0:feb4117d16d8 39 /**
madcowswe 0:feb4117d16d8 40 * \class Vector Vector.h "tvmet/meta/Vector.h"
madcowswe 0:feb4117d16d8 41 * \brief Meta %Vector class using expression templates
madcowswe 0:feb4117d16d8 42 */
madcowswe 0:feb4117d16d8 43 template<std::size_t Sz, std::size_t K=0>
madcowswe 0:feb4117d16d8 44 class Vector
madcowswe 0:feb4117d16d8 45 {
madcowswe 0:feb4117d16d8 46 Vector();
madcowswe 0:feb4117d16d8 47 Vector(const Vector&);
madcowswe 0:feb4117d16d8 48 Vector& operator=(const Vector&);
madcowswe 0:feb4117d16d8 49
madcowswe 0:feb4117d16d8 50 private:
madcowswe 0:feb4117d16d8 51 enum {
madcowswe 0:feb4117d16d8 52 doIt = (K < (Sz-1)) ? 1 : 0 /**< recursive counter */
madcowswe 0:feb4117d16d8 53 };
madcowswe 0:feb4117d16d8 54
madcowswe 0:feb4117d16d8 55 public:
madcowswe 0:feb4117d16d8 56 /** assign an expression expr using the functional assign_fn. */
madcowswe 0:feb4117d16d8 57 template <class Dest, class Src, class Assign>
madcowswe 0:feb4117d16d8 58 static inline
madcowswe 0:feb4117d16d8 59 void assign(Dest& lhs, const Src& rhs, const Assign& assign_fn) {
madcowswe 0:feb4117d16d8 60 assign_fn.apply_on(lhs(K), rhs(K));
madcowswe 0:feb4117d16d8 61 meta::Vector<Sz * doIt, (K+1) * doIt>::assign(lhs, rhs, assign_fn);
madcowswe 0:feb4117d16d8 62 }
madcowswe 0:feb4117d16d8 63
madcowswe 0:feb4117d16d8 64 /** build the sum of the vector. */
madcowswe 0:feb4117d16d8 65 template<class E>
madcowswe 0:feb4117d16d8 66 static inline
madcowswe 0:feb4117d16d8 67 typename E::value_type
madcowswe 0:feb4117d16d8 68 sum(const E& e) {
madcowswe 0:feb4117d16d8 69 return e(K) + meta::Vector<Sz * doIt, (K+1) * doIt>::sum(e);
madcowswe 0:feb4117d16d8 70 }
madcowswe 0:feb4117d16d8 71
madcowswe 0:feb4117d16d8 72 /** build the product of the vector. */
madcowswe 0:feb4117d16d8 73 template<class E>
madcowswe 0:feb4117d16d8 74 static inline
madcowswe 0:feb4117d16d8 75 typename NumericTraits<
madcowswe 0:feb4117d16d8 76 typename E::value_type
madcowswe 0:feb4117d16d8 77 >::sum_type
madcowswe 0:feb4117d16d8 78 product(const E& e) {
madcowswe 0:feb4117d16d8 79 return e(K) * meta::Vector<Sz * doIt, (K+1) * doIt>::product(e);
madcowswe 0:feb4117d16d8 80 }
madcowswe 0:feb4117d16d8 81
madcowswe 0:feb4117d16d8 82 /** build the dot product of the vector. */
madcowswe 0:feb4117d16d8 83 template<class Dest, class Src>
madcowswe 0:feb4117d16d8 84 static inline
madcowswe 0:feb4117d16d8 85 typename PromoteTraits<
madcowswe 0:feb4117d16d8 86 typename Dest::value_type,
madcowswe 0:feb4117d16d8 87 typename Src::value_type
madcowswe 0:feb4117d16d8 88 >::value_type
madcowswe 0:feb4117d16d8 89 dot(const Dest& lhs, const Src& rhs) {
madcowswe 0:feb4117d16d8 90 return lhs(K) * rhs(K)
madcowswe 0:feb4117d16d8 91 + meta::Vector<Sz * doIt, (K+1) * doIt>::dot(lhs, rhs);
madcowswe 0:feb4117d16d8 92 }
madcowswe 0:feb4117d16d8 93
madcowswe 0:feb4117d16d8 94 /** check for all elements */
madcowswe 0:feb4117d16d8 95 template<class E>
madcowswe 0:feb4117d16d8 96 static inline
madcowswe 0:feb4117d16d8 97 bool
madcowswe 0:feb4117d16d8 98 all_elements(const E& e) {
madcowswe 0:feb4117d16d8 99 if(!e(K)) return false;
madcowswe 0:feb4117d16d8 100 return meta::Vector<Sz * doIt, (K+1) * doIt>::all_elements(e);
madcowswe 0:feb4117d16d8 101 }
madcowswe 0:feb4117d16d8 102
madcowswe 0:feb4117d16d8 103 /** check for any elements */
madcowswe 0:feb4117d16d8 104 template<class E>
madcowswe 0:feb4117d16d8 105 static inline
madcowswe 0:feb4117d16d8 106 bool
madcowswe 0:feb4117d16d8 107 any_elements(const E& e) {
madcowswe 0:feb4117d16d8 108 if(e(K)) return true;
madcowswe 0:feb4117d16d8 109 return meta::Vector<Sz * doIt, (K+1) * doIt>::any_elements(e);
madcowswe 0:feb4117d16d8 110 }
madcowswe 0:feb4117d16d8 111 };
madcowswe 0:feb4117d16d8 112
madcowswe 0:feb4117d16d8 113
madcowswe 0:feb4117d16d8 114 /**
madcowswe 0:feb4117d16d8 115 * \class Vector<0,0> Vector.h "tvmet/meta/Vector.h"
madcowswe 0:feb4117d16d8 116 * \brief Meta %Vector Specialized for recursion
madcowswe 0:feb4117d16d8 117 */
madcowswe 0:feb4117d16d8 118 template<>
madcowswe 0:feb4117d16d8 119 class Vector<0,0>
madcowswe 0:feb4117d16d8 120 {
madcowswe 0:feb4117d16d8 121 Vector();
madcowswe 0:feb4117d16d8 122 Vector(const Vector&);
madcowswe 0:feb4117d16d8 123 Vector& operator=(const Vector&);
madcowswe 0:feb4117d16d8 124
madcowswe 0:feb4117d16d8 125 public:
madcowswe 0:feb4117d16d8 126 template <class Dest, class Src, class Assign>
madcowswe 0:feb4117d16d8 127 static inline void assign(Dest&, const Src&, const Assign&) { }
madcowswe 0:feb4117d16d8 128
madcowswe 0:feb4117d16d8 129 template<class E>
madcowswe 0:feb4117d16d8 130 static inline XprNull sum(const E&) { return XprNull(); }
madcowswe 0:feb4117d16d8 131
madcowswe 0:feb4117d16d8 132 template<class E>
madcowswe 0:feb4117d16d8 133 static inline XprNull product(const E&) { return XprNull(); }
madcowswe 0:feb4117d16d8 134
madcowswe 0:feb4117d16d8 135 template<class Dest, class Src>
madcowswe 0:feb4117d16d8 136 static inline XprNull dot(const Dest&, const Src&) { return XprNull(); }
madcowswe 0:feb4117d16d8 137
madcowswe 0:feb4117d16d8 138 template<class E>
madcowswe 0:feb4117d16d8 139 static inline bool all_elements(const E&) { return true; }
madcowswe 0:feb4117d16d8 140
madcowswe 0:feb4117d16d8 141 template<class E>
madcowswe 0:feb4117d16d8 142 static inline bool any_elements(const E&) { return false; }
madcowswe 0:feb4117d16d8 143 };
madcowswe 0:feb4117d16d8 144
madcowswe 0:feb4117d16d8 145
madcowswe 0:feb4117d16d8 146 } // namespace meta
madcowswe 0:feb4117d16d8 147
madcowswe 0:feb4117d16d8 148 } // namespace tvmet
madcowswe 0:feb4117d16d8 149
madcowswe 0:feb4117d16d8 150 #endif /* TVMET_META_VECTOR_H */
madcowswe 0:feb4117d16d8 151
madcowswe 0:feb4117d16d8 152 // Local Variables:
madcowswe 0:feb4117d16d8 153 // mode:C++
madcowswe 0:feb4117d16d8 154 // tab-width:8
madcowswe 0:feb4117d16d8 155 // End: