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tvmet/Matrix.h@1:cc2a9eb0bd55, 2012-10-17 (annotated)

Committer:
narshu
Date:
Wed Oct 17 22:25:31 2012 +0000
Revision:
1:cc2a9eb0bd55
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narshu 1:cc2a9eb0bd55 1 /*
narshu 1:cc2a9eb0bd55 2 * Tiny Vector Matrix Library
narshu 1:cc2a9eb0bd55 3 * Dense Vector Matrix Libary of Tiny size using Expression Templates
narshu 1:cc2a9eb0bd55 4 *
narshu 1:cc2a9eb0bd55 5 * Copyright (C) 2001 - 2007 Olaf Petzold <opetzold@users.sourceforge.net>
narshu 1:cc2a9eb0bd55 6 *
narshu 1:cc2a9eb0bd55 7 * This library is free software; you can redistribute it and/or
narshu 1:cc2a9eb0bd55 8 * modify it under the terms of the GNU lesser General Public
narshu 1:cc2a9eb0bd55 9 * License as published by the Free Software Foundation; either
narshu 1:cc2a9eb0bd55 10 * version 2.1 of the License, or (at your option) any later version.
narshu 1:cc2a9eb0bd55 11 *
narshu 1:cc2a9eb0bd55 12 * This library is distributed in the hope that it will be useful,
narshu 1:cc2a9eb0bd55 13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
narshu 1:cc2a9eb0bd55 14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
narshu 1:cc2a9eb0bd55 15 * lesser General Public License for more details.
narshu 1:cc2a9eb0bd55 16 *
narshu 1:cc2a9eb0bd55 17 * You should have received a copy of the GNU lesser General Public
narshu 1:cc2a9eb0bd55 18 * License along with this library; if not, write to the Free Software
narshu 1:cc2a9eb0bd55 19 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
narshu 1:cc2a9eb0bd55 20 *
narshu 1:cc2a9eb0bd55 21 * $Id: Matrix.h,v 1.58 2007-06-23 15:58:58 opetzold Exp $
narshu 1:cc2a9eb0bd55 22 */
narshu 1:cc2a9eb0bd55 23
narshu 1:cc2a9eb0bd55 24 #ifndef TVMET_MATRIX_H
narshu 1:cc2a9eb0bd55 25 #define TVMET_MATRIX_H
narshu 1:cc2a9eb0bd55 26
narshu 1:cc2a9eb0bd55 27 #include <iterator> // reverse_iterator
narshu 1:cc2a9eb0bd55 28
narshu 1:cc2a9eb0bd55 29 #include <tvmet/tvmet.h>
narshu 1:cc2a9eb0bd55 30 #include <tvmet/TypePromotion.h>
narshu 1:cc2a9eb0bd55 31 #include <tvmet/CommaInitializer.h>
narshu 1:cc2a9eb0bd55 32 #include <tvmet/RunTimeError.h>
narshu 1:cc2a9eb0bd55 33
narshu 1:cc2a9eb0bd55 34 #include <tvmet/xpr/Matrix.h>
narshu 1:cc2a9eb0bd55 35 #include <tvmet/xpr/MatrixRow.h>
narshu 1:cc2a9eb0bd55 36 #include <tvmet/xpr/MatrixCol.h>
narshu 1:cc2a9eb0bd55 37 #include <tvmet/xpr/MatrixDiag.h>
narshu 1:cc2a9eb0bd55 38
narshu 1:cc2a9eb0bd55 39 namespace tvmet {
narshu 1:cc2a9eb0bd55 40
narshu 1:cc2a9eb0bd55 41
narshu 1:cc2a9eb0bd55 42 /* forwards */
narshu 1:cc2a9eb0bd55 43 template<class T, std::size_t Rows, std::size_t Cols> class Matrix;
narshu 1:cc2a9eb0bd55 44 template<class T,
narshu 1:cc2a9eb0bd55 45 std::size_t RowsBgn, std::size_t RowsEnd,
narshu 1:cc2a9eb0bd55 46 std::size_t ColsBgn, std::size_t ColsEnd,
narshu 1:cc2a9eb0bd55 47 std::size_t RowStride, std::size_t ColStride /*=1*/>
narshu 1:cc2a9eb0bd55 48 class MatrixSliceConstReference; // unused here; for me only
narshu 1:cc2a9eb0bd55 49
narshu 1:cc2a9eb0bd55 50
narshu 1:cc2a9eb0bd55 51 /**
narshu 1:cc2a9eb0bd55 52 * \class MatrixConstReference Matrix.h "tvmet/Matrix.h"
narshu 1:cc2a9eb0bd55 53 * \brief value iterator for ET
narshu 1:cc2a9eb0bd55 54 */
narshu 1:cc2a9eb0bd55 55 template<class T, std::size_t NRows, std::size_t NCols>
narshu 1:cc2a9eb0bd55 56 class MatrixConstReference
narshu 1:cc2a9eb0bd55 57 : public TvmetBase < MatrixConstReference<T, NRows, NCols> >
narshu 1:cc2a9eb0bd55 58 {
narshu 1:cc2a9eb0bd55 59 public:
narshu 1:cc2a9eb0bd55 60 typedef T value_type;
narshu 1:cc2a9eb0bd55 61 typedef T* pointer;
narshu 1:cc2a9eb0bd55 62 typedef const T* const_pointer;
narshu 1:cc2a9eb0bd55 63
narshu 1:cc2a9eb0bd55 64 /** Dimensions. */
narshu 1:cc2a9eb0bd55 65 enum {
narshu 1:cc2a9eb0bd55 66 Rows = NRows, /**< Number of rows. */
narshu 1:cc2a9eb0bd55 67 Cols = NCols, /**< Number of cols. */
narshu 1:cc2a9eb0bd55 68 Size = Rows * Cols /**< Complete Size of Matrix. */
narshu 1:cc2a9eb0bd55 69 };
narshu 1:cc2a9eb0bd55 70
narshu 1:cc2a9eb0bd55 71 public:
narshu 1:cc2a9eb0bd55 72 /** Complexity counter. */
narshu 1:cc2a9eb0bd55 73 enum {
narshu 1:cc2a9eb0bd55 74 ops = Rows * Cols
narshu 1:cc2a9eb0bd55 75 };
narshu 1:cc2a9eb0bd55 76
narshu 1:cc2a9eb0bd55 77 private:
narshu 1:cc2a9eb0bd55 78 MatrixConstReference();
narshu 1:cc2a9eb0bd55 79 MatrixConstReference& operator=(const MatrixConstReference&);
narshu 1:cc2a9eb0bd55 80
narshu 1:cc2a9eb0bd55 81 public:
narshu 1:cc2a9eb0bd55 82 /** Constructor. */
narshu 1:cc2a9eb0bd55 83 explicit MatrixConstReference(const Matrix<T, Rows, Cols>& rhs)
narshu 1:cc2a9eb0bd55 84 : m_data(rhs.data())
narshu 1:cc2a9eb0bd55 85 { }
narshu 1:cc2a9eb0bd55 86
narshu 1:cc2a9eb0bd55 87 /** Constructor by a given memory pointer. */
narshu 1:cc2a9eb0bd55 88 explicit MatrixConstReference(const_pointer data)
narshu 1:cc2a9eb0bd55 89 : m_data(data)
narshu 1:cc2a9eb0bd55 90 { }
narshu 1:cc2a9eb0bd55 91
narshu 1:cc2a9eb0bd55 92 public: // access operators
narshu 1:cc2a9eb0bd55 93 /** access by index. */
narshu 1:cc2a9eb0bd55 94 value_type operator()(std::size_t i, std::size_t j) const {
narshu 1:cc2a9eb0bd55 95 TVMET_RT_CONDITION((i < Rows) && (j < Cols), "MatrixConstReference Bounce Violation")
narshu 1:cc2a9eb0bd55 96 return m_data[i * Cols + j];
narshu 1:cc2a9eb0bd55 97 }
narshu 1:cc2a9eb0bd55 98
narshu 1:cc2a9eb0bd55 99 public: // debugging Xpr parse tree
narshu 1:cc2a9eb0bd55 100 void print_xpr(std::ostream& os, std::size_t l=0) const {
narshu 1:cc2a9eb0bd55 101 os << IndentLevel(l)
narshu 1:cc2a9eb0bd55 102 << "MatrixConstReference[O=" << ops << "]<"
narshu 1:cc2a9eb0bd55 103 << "T=" << typeid(value_type).name() << ">,"
narshu 1:cc2a9eb0bd55 104 << std::endl;
narshu 1:cc2a9eb0bd55 105 }
narshu 1:cc2a9eb0bd55 106
narshu 1:cc2a9eb0bd55 107 private:
narshu 1:cc2a9eb0bd55 108 const_pointer _tvmet_restrict m_data;
narshu 1:cc2a9eb0bd55 109 };
narshu 1:cc2a9eb0bd55 110
narshu 1:cc2a9eb0bd55 111
narshu 1:cc2a9eb0bd55 112 /**
narshu 1:cc2a9eb0bd55 113 * \class Matrix Matrix.h "tvmet/Matrix.h"
narshu 1:cc2a9eb0bd55 114 * \brief A tiny matrix class.
narshu 1:cc2a9eb0bd55 115 *
narshu 1:cc2a9eb0bd55 116 * The array syntax A[j][j] isn't supported here. The reason is that
narshu 1:cc2a9eb0bd55 117 * operator[] always takes exactly one parameter, but operator() can
narshu 1:cc2a9eb0bd55 118 * take any number of parameters (in the case of a rectangular matrix,
narshu 1:cc2a9eb0bd55 119 * two paramters are needed). Therefore the cleanest way to do it is
narshu 1:cc2a9eb0bd55 120 * with operator() rather than with operator[]. \see C++ FAQ Lite 13.8
narshu 1:cc2a9eb0bd55 121 */
narshu 1:cc2a9eb0bd55 122 template<class T, std::size_t NRows, std::size_t NCols>
narshu 1:cc2a9eb0bd55 123 class Matrix
narshu 1:cc2a9eb0bd55 124 {
narshu 1:cc2a9eb0bd55 125 public:
narshu 1:cc2a9eb0bd55 126 /** Data type of the tvmet::Matrix. */
narshu 1:cc2a9eb0bd55 127 typedef T value_type;
narshu 1:cc2a9eb0bd55 128
narshu 1:cc2a9eb0bd55 129 /** Reference type of the tvmet::Matrix data elements. */
narshu 1:cc2a9eb0bd55 130 typedef T& reference;
narshu 1:cc2a9eb0bd55 131
narshu 1:cc2a9eb0bd55 132 /** const reference type of the tvmet::Matrix data elements. */
narshu 1:cc2a9eb0bd55 133 typedef const T& const_reference;
narshu 1:cc2a9eb0bd55 134
narshu 1:cc2a9eb0bd55 135 /** STL iterator interface. */
narshu 1:cc2a9eb0bd55 136 typedef T* iterator;
narshu 1:cc2a9eb0bd55 137
narshu 1:cc2a9eb0bd55 138 /** STL const_iterator interface. */
narshu 1:cc2a9eb0bd55 139 typedef const T* const_iterator;
narshu 1:cc2a9eb0bd55 140
narshu 1:cc2a9eb0bd55 141 /** STL reverse iterator interface. */
narshu 1:cc2a9eb0bd55 142 typedef std::reverse_iterator<iterator> reverse_iterator;
narshu 1:cc2a9eb0bd55 143
narshu 1:cc2a9eb0bd55 144 /** STL const reverse iterator interface. */
narshu 1:cc2a9eb0bd55 145 typedef std::reverse_iterator<const_iterator> const_reverse_iterator;
narshu 1:cc2a9eb0bd55 146
narshu 1:cc2a9eb0bd55 147 public:
narshu 1:cc2a9eb0bd55 148 /** Dimensions. */
narshu 1:cc2a9eb0bd55 149 enum {
narshu 1:cc2a9eb0bd55 150 Rows = NRows, /**< Number of rows. */
narshu 1:cc2a9eb0bd55 151 Cols = NCols, /**< Number of cols. */
narshu 1:cc2a9eb0bd55 152 Size = Rows * Cols /**< Complete Size of Matrix. */
narshu 1:cc2a9eb0bd55 153 };
narshu 1:cc2a9eb0bd55 154
narshu 1:cc2a9eb0bd55 155 public:
narshu 1:cc2a9eb0bd55 156 /** Complexity counter. */
narshu 1:cc2a9eb0bd55 157 enum {
narshu 1:cc2a9eb0bd55 158 ops_assign = Rows * Cols,
narshu 1:cc2a9eb0bd55 159 ops = ops_assign,
narshu 1:cc2a9eb0bd55 160 use_meta = ops < TVMET_COMPLEXITY_M_ASSIGN_TRIGGER ? true : false
narshu 1:cc2a9eb0bd55 161 };
narshu 1:cc2a9eb0bd55 162
narshu 1:cc2a9eb0bd55 163 public: // STL interface
narshu 1:cc2a9eb0bd55 164 /** STL iterator interface. */
narshu 1:cc2a9eb0bd55 165 iterator begin() { return m_data; }
narshu 1:cc2a9eb0bd55 166
narshu 1:cc2a9eb0bd55 167 /** STL iterator interface. */
narshu 1:cc2a9eb0bd55 168 iterator end() { return m_data + Size; }
narshu 1:cc2a9eb0bd55 169
narshu 1:cc2a9eb0bd55 170 /** STL const_iterator interface. */
narshu 1:cc2a9eb0bd55 171 const_iterator begin() const { return m_data; }
narshu 1:cc2a9eb0bd55 172
narshu 1:cc2a9eb0bd55 173 /** STL const_iterator interface. */
narshu 1:cc2a9eb0bd55 174 const_iterator end() const { return m_data + Size; }
narshu 1:cc2a9eb0bd55 175
narshu 1:cc2a9eb0bd55 176 /** STL reverse iterator interface reverse begin. */
narshu 1:cc2a9eb0bd55 177 reverse_iterator rbegin() { return reverse_iterator( end() ); }
narshu 1:cc2a9eb0bd55 178
narshu 1:cc2a9eb0bd55 179 /** STL const reverse iterator interface reverse begin. */
narshu 1:cc2a9eb0bd55 180 const_reverse_iterator rbegin() const {
narshu 1:cc2a9eb0bd55 181 return const_reverse_iterator( end() );
narshu 1:cc2a9eb0bd55 182 }
narshu 1:cc2a9eb0bd55 183
narshu 1:cc2a9eb0bd55 184 /** STL reverse iterator interface reverse end. */
narshu 1:cc2a9eb0bd55 185 reverse_iterator rend() { return reverse_iterator( begin() ); }
narshu 1:cc2a9eb0bd55 186
narshu 1:cc2a9eb0bd55 187 /** STL const reverse iterator interface reverse end. */
narshu 1:cc2a9eb0bd55 188 const_reverse_iterator rend() const {
narshu 1:cc2a9eb0bd55 189 return const_reverse_iterator( begin() );
narshu 1:cc2a9eb0bd55 190 }
narshu 1:cc2a9eb0bd55 191
narshu 1:cc2a9eb0bd55 192 /** The size of the matrix. */
narshu 1:cc2a9eb0bd55 193 static std::size_t size() { return Size; }
narshu 1:cc2a9eb0bd55 194
narshu 1:cc2a9eb0bd55 195 /** STL vector max_size() - returns allways rows()*cols(). */
narshu 1:cc2a9eb0bd55 196 static std::size_t max_size() { return Size; }
narshu 1:cc2a9eb0bd55 197
narshu 1:cc2a9eb0bd55 198 /** STL vector empty() - returns allways false. */
narshu 1:cc2a9eb0bd55 199 static bool empty() { return false; }
narshu 1:cc2a9eb0bd55 200
narshu 1:cc2a9eb0bd55 201 public:
narshu 1:cc2a9eb0bd55 202 /** The number of rows of matrix. */
narshu 1:cc2a9eb0bd55 203 static std::size_t rows() { return Rows; }
narshu 1:cc2a9eb0bd55 204
narshu 1:cc2a9eb0bd55 205 /** The number of columns of matrix. */
narshu 1:cc2a9eb0bd55 206 static std::size_t cols() { return Cols; }
narshu 1:cc2a9eb0bd55 207
narshu 1:cc2a9eb0bd55 208 public:
narshu 1:cc2a9eb0bd55 209 /** Default Destructor */
narshu 1:cc2a9eb0bd55 210 ~Matrix() {
narshu 1:cc2a9eb0bd55 211 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 212 delete [] m_data;
narshu 1:cc2a9eb0bd55 213 #endif
narshu 1:cc2a9eb0bd55 214 }
narshu 1:cc2a9eb0bd55 215
narshu 1:cc2a9eb0bd55 216 /** Default Constructor. The allocated memory region isn't cleared. If you want
narshu 1:cc2a9eb0bd55 217 a clean use the constructor argument zero. */
narshu 1:cc2a9eb0bd55 218 explicit Matrix()
narshu 1:cc2a9eb0bd55 219 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 220 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 221 #endif
narshu 1:cc2a9eb0bd55 222 { }
narshu 1:cc2a9eb0bd55 223
narshu 1:cc2a9eb0bd55 224 /** Copy Constructor, not explicit! */
narshu 1:cc2a9eb0bd55 225 Matrix(const Matrix& rhs)
narshu 1:cc2a9eb0bd55 226 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 227 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 228 #endif
narshu 1:cc2a9eb0bd55 229 {
narshu 1:cc2a9eb0bd55 230 *this = XprMatrix<ConstReference, Rows, Cols>(rhs.const_ref());
narshu 1:cc2a9eb0bd55 231 }
narshu 1:cc2a9eb0bd55 232
narshu 1:cc2a9eb0bd55 233 /**
narshu 1:cc2a9eb0bd55 234 * Constructor with STL iterator interface. The data will be copied into the matrix
narshu 1:cc2a9eb0bd55 235 * self, there isn't any stored reference to the array pointer.
narshu 1:cc2a9eb0bd55 236 */
narshu 1:cc2a9eb0bd55 237 template<class InputIterator>
narshu 1:cc2a9eb0bd55 238 explicit Matrix(InputIterator first, InputIterator last)
narshu 1:cc2a9eb0bd55 239 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 240 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 241 #endif
narshu 1:cc2a9eb0bd55 242 {
narshu 1:cc2a9eb0bd55 243 TVMET_RT_CONDITION(static_cast<std::size_t>(std::distance(first, last)) <= Size,
narshu 1:cc2a9eb0bd55 244 "InputIterator doesn't fits in size" )
narshu 1:cc2a9eb0bd55 245 std::copy(first, last, m_data);
narshu 1:cc2a9eb0bd55 246 }
narshu 1:cc2a9eb0bd55 247
narshu 1:cc2a9eb0bd55 248 /**
narshu 1:cc2a9eb0bd55 249 * Constructor with STL iterator interface. The data will be copied into the matrix
narshu 1:cc2a9eb0bd55 250 * self, there isn't any stored reference to the array pointer.
narshu 1:cc2a9eb0bd55 251 */
narshu 1:cc2a9eb0bd55 252 template<class InputIterator>
narshu 1:cc2a9eb0bd55 253 explicit Matrix(InputIterator first, std::size_t sz)
narshu 1:cc2a9eb0bd55 254 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 255 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 256 #endif
narshu 1:cc2a9eb0bd55 257 {
narshu 1:cc2a9eb0bd55 258 TVMET_RT_CONDITION(sz <= Size, "InputIterator doesn't fits in size" )
narshu 1:cc2a9eb0bd55 259 std::copy(first, first + sz, m_data);
narshu 1:cc2a9eb0bd55 260 }
narshu 1:cc2a9eb0bd55 261
narshu 1:cc2a9eb0bd55 262 /** Construct the matrix by value. */
narshu 1:cc2a9eb0bd55 263 explicit Matrix(value_type rhs)
narshu 1:cc2a9eb0bd55 264 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 265 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 266 #endif
narshu 1:cc2a9eb0bd55 267 {
narshu 1:cc2a9eb0bd55 268 typedef XprLiteral<value_type> expr_type;
narshu 1:cc2a9eb0bd55 269 *this = XprMatrix<expr_type, Rows, Cols>(expr_type(rhs));
narshu 1:cc2a9eb0bd55 270 }
narshu 1:cc2a9eb0bd55 271
narshu 1:cc2a9eb0bd55 272 /** Construct a matrix by expression. */
narshu 1:cc2a9eb0bd55 273 template<class E>
narshu 1:cc2a9eb0bd55 274 explicit Matrix(const XprMatrix<E, Rows, Cols>& e)
narshu 1:cc2a9eb0bd55 275 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 276 : m_data( new value_type[Size] )
narshu 1:cc2a9eb0bd55 277 #endif
narshu 1:cc2a9eb0bd55 278 {
narshu 1:cc2a9eb0bd55 279 *this = e;
narshu 1:cc2a9eb0bd55 280 }
narshu 1:cc2a9eb0bd55 281
narshu 1:cc2a9eb0bd55 282 /** assign a value_type on array, this can be used for a single value
narshu 1:cc2a9eb0bd55 283 or a comma separeted list of values. */
narshu 1:cc2a9eb0bd55 284 CommaInitializer<Matrix, Size> operator=(value_type rhs) {
narshu 1:cc2a9eb0bd55 285 return CommaInitializer<Matrix, Size>(*this, rhs);
narshu 1:cc2a9eb0bd55 286 }
narshu 1:cc2a9eb0bd55 287
narshu 1:cc2a9eb0bd55 288 public: // access operators
narshu 1:cc2a9eb0bd55 289 value_type* _tvmet_restrict data() { return m_data; }
narshu 1:cc2a9eb0bd55 290 const value_type* _tvmet_restrict data() const { return m_data; }
narshu 1:cc2a9eb0bd55 291
narshu 1:cc2a9eb0bd55 292 public: // index access operators
narshu 1:cc2a9eb0bd55 293 value_type& _tvmet_restrict operator()(std::size_t i, std::size_t j) {
narshu 1:cc2a9eb0bd55 294 // Note: g++-2.95.3 does have problems on typedef reference
narshu 1:cc2a9eb0bd55 295 TVMET_RT_CONDITION((i < Rows) && (j < Cols), "Matrix Bounce Violation")
narshu 1:cc2a9eb0bd55 296 return m_data[i * Cols + j];
narshu 1:cc2a9eb0bd55 297 }
narshu 1:cc2a9eb0bd55 298
narshu 1:cc2a9eb0bd55 299 value_type operator()(std::size_t i, std::size_t j) const {
narshu 1:cc2a9eb0bd55 300 TVMET_RT_CONDITION((i < Rows) && (j < Cols), "Matrix Bounce Violation")
narshu 1:cc2a9eb0bd55 301 return m_data[i * Cols + j];
narshu 1:cc2a9eb0bd55 302 }
narshu 1:cc2a9eb0bd55 303
narshu 1:cc2a9eb0bd55 304 public: // ET interface
narshu 1:cc2a9eb0bd55 305 typedef MatrixConstReference<T, Rows, Cols> ConstReference;
narshu 1:cc2a9eb0bd55 306
narshu 1:cc2a9eb0bd55 307 typedef MatrixSliceConstReference<
narshu 1:cc2a9eb0bd55 308 T,
narshu 1:cc2a9eb0bd55 309 0, Rows, 0, Cols,
narshu 1:cc2a9eb0bd55 310 Rows, 1
narshu 1:cc2a9eb0bd55 311 > SliceConstReference;
narshu 1:cc2a9eb0bd55 312
narshu 1:cc2a9eb0bd55 313 /** Return a const Reference of the internal data */
narshu 1:cc2a9eb0bd55 314 ConstReference const_ref() const { return ConstReference(*this); }
narshu 1:cc2a9eb0bd55 315
narshu 1:cc2a9eb0bd55 316 /**
narshu 1:cc2a9eb0bd55 317 * Return a sliced const Reference of the internal data.
narshu 1:cc2a9eb0bd55 318 * \note Doesn't work since isn't implemented, but it is in
narshu 1:cc2a9eb0bd55 319 * progress. Therefore this is a placeholder. */
narshu 1:cc2a9eb0bd55 320 ConstReference const_sliceref() const { return SliceConstReference(*this); }
narshu 1:cc2a9eb0bd55 321
narshu 1:cc2a9eb0bd55 322 /** Return the vector as const expression. */
narshu 1:cc2a9eb0bd55 323 XprMatrix<ConstReference, Rows, Cols> as_expr() const {
narshu 1:cc2a9eb0bd55 324 return XprMatrix<ConstReference, Rows, Cols>(this->const_ref());
narshu 1:cc2a9eb0bd55 325 }
narshu 1:cc2a9eb0bd55 326
narshu 1:cc2a9eb0bd55 327 private:
narshu 1:cc2a9eb0bd55 328 /** Wrapper for meta assign. */
narshu 1:cc2a9eb0bd55 329 template<class Dest, class Src, class Assign>
narshu 1:cc2a9eb0bd55 330 static inline
narshu 1:cc2a9eb0bd55 331 void do_assign(dispatch<true>, Dest& dest, const Src& src, const Assign& assign_fn) {
narshu 1:cc2a9eb0bd55 332 meta::Matrix<Rows, Cols, 0, 0>::assign(dest, src, assign_fn);
narshu 1:cc2a9eb0bd55 333 }
narshu 1:cc2a9eb0bd55 334
narshu 1:cc2a9eb0bd55 335 /** Wrapper for loop assign. */
narshu 1:cc2a9eb0bd55 336 template<class Dest, class Src, class Assign>
narshu 1:cc2a9eb0bd55 337 static inline
narshu 1:cc2a9eb0bd55 338 void do_assign(dispatch<false>, Dest& dest, const Src& src, const Assign& assign_fn) {
narshu 1:cc2a9eb0bd55 339 loop::Matrix<Rows, Cols>::assign(dest, src, assign_fn);
narshu 1:cc2a9eb0bd55 340 }
narshu 1:cc2a9eb0bd55 341
narshu 1:cc2a9eb0bd55 342 private:
narshu 1:cc2a9eb0bd55 343 /** assign this to a matrix of a different type T2 using
narshu 1:cc2a9eb0bd55 344 the functional assign_fn. */
narshu 1:cc2a9eb0bd55 345 template<class T2, class Assign>
narshu 1:cc2a9eb0bd55 346 void assign_to(Matrix<T2, Rows, Cols>& dest, const Assign& assign_fn) const {
narshu 1:cc2a9eb0bd55 347 do_assign(dispatch<use_meta>(), dest, *this, assign_fn);
narshu 1:cc2a9eb0bd55 348 }
narshu 1:cc2a9eb0bd55 349
narshu 1:cc2a9eb0bd55 350 public: // assign operations
narshu 1:cc2a9eb0bd55 351 /** assign a given matrix of a different type T2 element wise
narshu 1:cc2a9eb0bd55 352 to this matrix. The operator=(const Matrix&) is compiler
narshu 1:cc2a9eb0bd55 353 generated. */
narshu 1:cc2a9eb0bd55 354 template<class T2>
narshu 1:cc2a9eb0bd55 355 Matrix& operator=(const Matrix<T2, Rows, Cols>& rhs) {
narshu 1:cc2a9eb0bd55 356 rhs.assign_to(*this, Fcnl_assign<value_type, T2>());
narshu 1:cc2a9eb0bd55 357 return *this;
narshu 1:cc2a9eb0bd55 358 }
narshu 1:cc2a9eb0bd55 359
narshu 1:cc2a9eb0bd55 360 /** assign a given XprMatrix element wise to this matrix. */
narshu 1:cc2a9eb0bd55 361 template <class E>
narshu 1:cc2a9eb0bd55 362 Matrix& operator=(const XprMatrix<E, Rows, Cols>& rhs) {
narshu 1:cc2a9eb0bd55 363 rhs.assign_to(*this, Fcnl_assign<value_type, typename E::value_type>());
narshu 1:cc2a9eb0bd55 364 return *this;
narshu 1:cc2a9eb0bd55 365 }
narshu 1:cc2a9eb0bd55 366
narshu 1:cc2a9eb0bd55 367 private:
narshu 1:cc2a9eb0bd55 368 template<class Obj, std::size_t LEN> friend class CommaInitializer;
narshu 1:cc2a9eb0bd55 369
narshu 1:cc2a9eb0bd55 370 /** This is a helper for assigning a comma separated initializer
narshu 1:cc2a9eb0bd55 371 list. It's equal to Matrix& operator=(value_type) which does
narshu 1:cc2a9eb0bd55 372 replace it. */
narshu 1:cc2a9eb0bd55 373 Matrix& assign_value(value_type rhs) {
narshu 1:cc2a9eb0bd55 374 typedef XprLiteral<value_type> expr_type;
narshu 1:cc2a9eb0bd55 375 *this = XprMatrix<expr_type, Rows, Cols>(expr_type(rhs));
narshu 1:cc2a9eb0bd55 376 return *this;
narshu 1:cc2a9eb0bd55 377 }
narshu 1:cc2a9eb0bd55 378
narshu 1:cc2a9eb0bd55 379 public: // math operators with scalars
narshu 1:cc2a9eb0bd55 380 // NOTE: this meaning is clear - element wise ops even if not in ns element_wise
narshu 1:cc2a9eb0bd55 381 Matrix& operator+=(value_type) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 382 Matrix& operator-=(value_type) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 383 Matrix& operator*=(value_type) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 384 Matrix& operator/=(value_type) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 385
narshu 1:cc2a9eb0bd55 386 Matrix& operator%=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 387 Matrix& operator^=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 388 Matrix& operator&=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 389 Matrix& operator|=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 390 Matrix& operator<<=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 391 Matrix& operator>>=(std::size_t) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 392
narshu 1:cc2a9eb0bd55 393 public: // math operators with matrizes
narshu 1:cc2a9eb0bd55 394 // NOTE: access using the operators in ns element_wise, since that's what is does
narshu 1:cc2a9eb0bd55 395 template <class T2> Matrix& M_add_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 396 template <class T2> Matrix& M_sub_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 397 template <class T2> Matrix& M_mul_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 398 template <class T2> Matrix& M_div_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 399 template <class T2> Matrix& M_mod_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 400 template <class T2> Matrix& M_xor_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 401 template <class T2> Matrix& M_and_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 402 template <class T2> Matrix& M_or_eq (const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 403 template <class T2> Matrix& M_shl_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 404 template <class T2> Matrix& M_shr_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 405
narshu 1:cc2a9eb0bd55 406 public: // math operators with expressions
narshu 1:cc2a9eb0bd55 407 // NOTE: access using the operators in ns element_wise, since that's what is does
narshu 1:cc2a9eb0bd55 408 template <class E> Matrix& M_add_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 409 template <class E> Matrix& M_sub_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 410 template <class E> Matrix& M_mul_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 411 template <class E> Matrix& M_div_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 412 template <class E> Matrix& M_mod_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 413 template <class E> Matrix& M_xor_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 414 template <class E> Matrix& M_and_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 415 template <class E> Matrix& M_or_eq (const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 416 template <class E> Matrix& M_shl_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 417 template <class E> Matrix& M_shr_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 418
narshu 1:cc2a9eb0bd55 419 public: // aliased math operators with expressions
narshu 1:cc2a9eb0bd55 420 template <class T2> Matrix& alias_assign(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 421 template <class T2> Matrix& alias_add_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 422 template <class T2> Matrix& alias_sub_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 423 template <class T2> Matrix& alias_mul_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 424 template <class T2> Matrix& alias_div_eq(const Matrix<T2, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 425
narshu 1:cc2a9eb0bd55 426 template <class E> Matrix& alias_assign(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 427 template <class E> Matrix& alias_add_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 428 template <class E> Matrix& alias_sub_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 429 template <class E> Matrix& alias_mul_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 430 template <class E> Matrix& alias_div_eq(const XprMatrix<E, Rows, Cols>&) TVMET_CXX_ALWAYS_INLINE;
narshu 1:cc2a9eb0bd55 431
narshu 1:cc2a9eb0bd55 432 public: // io
narshu 1:cc2a9eb0bd55 433 /** Structure for info printing as Matrix<T, Rows, Cols>. */
narshu 1:cc2a9eb0bd55 434 struct Info : public TvmetBase<Info> {
narshu 1:cc2a9eb0bd55 435 std::ostream& print_xpr(std::ostream& os) const {
narshu 1:cc2a9eb0bd55 436 os << "Matrix<T=" << typeid(value_type).name()
narshu 1:cc2a9eb0bd55 437 << ", R=" << Rows << ", C=" << Cols << ">";
narshu 1:cc2a9eb0bd55 438 return os;
narshu 1:cc2a9eb0bd55 439 }
narshu 1:cc2a9eb0bd55 440 };
narshu 1:cc2a9eb0bd55 441
narshu 1:cc2a9eb0bd55 442 /** Get an info object of this matrix. */
narshu 1:cc2a9eb0bd55 443 static Info info() { return Info(); }
narshu 1:cc2a9eb0bd55 444
narshu 1:cc2a9eb0bd55 445 /** Member function for expression level printing. */
narshu 1:cc2a9eb0bd55 446 std::ostream& print_xpr(std::ostream& os, std::size_t l=0) const;
narshu 1:cc2a9eb0bd55 447
narshu 1:cc2a9eb0bd55 448 /** Member function for printing internal data. */
narshu 1:cc2a9eb0bd55 449 std::ostream& print_on(std::ostream& os) const;
narshu 1:cc2a9eb0bd55 450
narshu 1:cc2a9eb0bd55 451 private:
narshu 1:cc2a9eb0bd55 452 /** The data of matrix self. */
narshu 1:cc2a9eb0bd55 453 #if defined(TVMET_DYNAMIC_MEMORY)
narshu 1:cc2a9eb0bd55 454 value_type* m_data;
narshu 1:cc2a9eb0bd55 455 #else
narshu 1:cc2a9eb0bd55 456 value_type m_data[Size];
narshu 1:cc2a9eb0bd55 457 #endif
narshu 1:cc2a9eb0bd55 458 };
narshu 1:cc2a9eb0bd55 459
narshu 1:cc2a9eb0bd55 460
narshu 1:cc2a9eb0bd55 461 } // namespace tvmet
narshu 1:cc2a9eb0bd55 462
narshu 1:cc2a9eb0bd55 463 #include <tvmet/MatrixImpl.h>
narshu 1:cc2a9eb0bd55 464 #include <tvmet/MatrixFunctions.h>
narshu 1:cc2a9eb0bd55 465 #include <tvmet/MatrixBinaryFunctions.h>
narshu 1:cc2a9eb0bd55 466 #include <tvmet/MatrixUnaryFunctions.h>
narshu 1:cc2a9eb0bd55 467 #include <tvmet/MatrixOperators.h>
narshu 1:cc2a9eb0bd55 468 #include <tvmet/MatrixEval.h>
narshu 1:cc2a9eb0bd55 469 #include <tvmet/AliasProxy.h>
narshu 1:cc2a9eb0bd55 470
narshu 1:cc2a9eb0bd55 471 #endif // TVMET_MATRIX_H
narshu 1:cc2a9eb0bd55 472
narshu 1:cc2a9eb0bd55 473 // Local Variables:
narshu 1:cc2a9eb0bd55 474 // mode:C++
narshu 1:cc2a9eb0bd55 475 // tab-width:8
narshu 1:cc2a9eb0bd55 476 // End: