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annotate src/DLD-FUNCTIONS/kron.cc @ 7455:fe332ce262b5

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eliminate spkron.cc; dispatch in kron
author David Bateman <dbateman@free.fr>
date Thu, 07 Feb 2008 06:00:37 -0500
parents a1dbe9d80eee
children 82be108cc558
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1 /*
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2
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3 Copyright (C) 2002, 2005, 2006, 2007 John W. Eaton
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4
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5 This file is part of Octave.
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6
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7 Octave is free software; you can redistribute it and/or modify it
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8 under the terms of the GNU General Public License as published by the
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9 Free Software Foundation; either version 3 of the License, or (at your
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10 option) any later version.
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11
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12 Octave is distributed in the hope that it will be useful, but WITHOUT
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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15 for more details.
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16
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17 You should have received a copy of the GNU General Public License
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18 along with Octave; see the file COPYING. If not, see
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19 <http://www.gnu.org/licenses/>.
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20
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21 */
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22
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23 // Author: Paul Kienzle <pkienzle@users.sf.net>
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24
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25 #ifdef HAVE_CONFIG_H
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26 #include <config.h>
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27 #endif
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28
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29 #include "dMatrix.h"
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30 #include "CMatrix.h"
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31 #include "quit.h"
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32
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33 #include "defun-dld.h"
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34 #include "error.h"
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35 #include "oct-obj.h"
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36
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37 #if !defined (CXX_NEW_FRIEND_TEMPLATE_DECL)
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38 extern void
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39 kron (const Array2<double>&, const Array2<double>&, Array2<double>&);
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40
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41 extern void
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42 kron (const Array2<Complex>&, const Array2<Complex>&, Array2<Complex>&);
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43 #endif
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44
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45 template <class T>
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46 void
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47 kron (const Array2<T>& A, const Array2<T>& B, Array2<T>& C)
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48 {
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49 C.resize (A.rows () * B.rows (), A.columns () * B.columns ());
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50
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51 octave_idx_type Ac, Ar, Cc, Cr;
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52
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53 for (Ac = Cc = 0; Ac < A.columns (); Ac++, Cc += B.columns ())
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54 for (Ar = Cr = 0; Ar < A.rows (); Ar++, Cr += B.rows ())
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55 {
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56 const T v = A (Ar, Ac);
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57 for (octave_idx_type Bc = 0; Bc < B.columns (); Bc++)
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58 for (octave_idx_type Br = 0; Br < B.rows (); Br++)
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59 {
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60 OCTAVE_QUIT;
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61 C.xelem (Cr+Br, Cc+Bc) = v * B.elem (Br, Bc);
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62 }
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63 }
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64 }
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65
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66 template void
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67 kron (const Array2<double>&, const Array2<double>&, Array2<double>&);
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68
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69 template void
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70 kron (const Array2<Complex>&, const Array2<Complex>&, Array2<Complex>&);
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71
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72
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73 #if !defined (CXX_NEW_FRIEND_TEMPLATE_DECL)
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74 extern void
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75 kron (const Sparse<double>&, const Sparse<double>&, Sparse<double>&);
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76
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77 extern void
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78 kron (const Sparse<Complex>&, const Sparse<Complex>&, Sparse<Complex>&);
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79 #endif
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80
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81 template <class T>
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82 void
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83 kron (const Sparse<T>& A, const Sparse<T>& B, Sparse<T>& C)
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84 {
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85 octave_idx_type idx = 0;
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86 C = Sparse<T> (A.rows () * B.rows (), A.columns () * B.columns (),
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87 A.nzmax () * B.nzmax ());
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88
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89 C.cidx (0) = 0;
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90
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91 for (octave_idx_type Aj = 0; Aj < A.columns (); Aj++)
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92 for (octave_idx_type Bj = 0; Bj < B.columns (); Bj++)
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93 {
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94 for (octave_idx_type Ai = A.cidx (Aj); Ai < A.cidx (Aj+1); Ai++)
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95 {
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96 octave_idx_type Ci = A.ridx(Ai) * B.rows ();
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97 const T v = A.data (Ai);
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98
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99 for (octave_idx_type Bi = B.cidx (Bj); Bi < B.cidx (Bj+1); Bi++)
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100 {
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101 OCTAVE_QUIT;
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102 C.data (idx) = v * B.data (Bi);
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103 C.ridx (idx++) = Ci + B.ridx (Bi);
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104 }
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105 }
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106 C.cidx (Aj * B.columns () + Bj + 1) = idx;
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107 }
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108 }
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109
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110 template void
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111 kron (const Sparse<double>&, const Sparse<double>&, Sparse<double>&);
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112
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113 template void
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114 kron (const Sparse<Complex>&, const Sparse<Complex>&, Sparse<Complex>&);
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115
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116
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117 DEFUN_DLD (kron, args, nargout, "-*- texinfo -*-\n\
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118 @deftypefn {Loadable Function} {} kron (@var{a}, @var{b})\n\
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119 Form the kronecker product of two matrices, defined block by block as\n\
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120 \n\
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121 @example\n\
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122 x = [a(i, j) b]\n\
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123 @end example\n\
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124 \n\
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125 For example,\n\
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126 \n\
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127 @example\n\
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128 @group\n\
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129 kron (1:4, ones (3, 1))\n\
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130 @result{} 1 2 3 4\n\
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131 1 2 3 4\n\
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132 1 2 3 4\n\
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133 @end group\n\
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134 @end example\n\
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135 @end deftypefn")
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136 {
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137 octave_value_list retval;
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138
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139 int nargin = args.length ();
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140
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141 if (nargin != 2 || nargout > 1)
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142 {
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143 print_usage ();
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144 }
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145 else if (args(0).is_sparse_type () || args(1).is_sparse_type ())
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146 {
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147 if (args(0).is_complex_type () || args(1).is_complex_type ())
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148 {
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149 SparseComplexMatrix a (args(0).sparse_complex_matrix_value());
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150 SparseComplexMatrix b (args(1).sparse_complex_matrix_value());
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151
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152 if (! error_state)
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153 {
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154 SparseComplexMatrix c;
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155 kron (a, b, c);
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156 retval(0) = c;
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157 }
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158 }
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159 else
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160 {
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161 SparseMatrix a (args(0).sparse_matrix_value ());
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162 SparseMatrix b (args(1).sparse_matrix_value ());
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163
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164 if (! error_state)
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165 {
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166 SparseMatrix c;
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167 kron (a, b, c);
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168 retval (0) = c;
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169 }
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170 }
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171 }
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172 else
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173 {
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174 if (args(0).is_complex_type () || args(1).is_complex_type ())
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175 {
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176 ComplexMatrix a (args(0).complex_matrix_value());
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177 ComplexMatrix b (args(1).complex_matrix_value());
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178
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179 if (! error_state)
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180 {
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181 ComplexMatrix c;
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182 kron (a, b, c);
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183 retval(0) = c;
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184 }
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185 }
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186 else
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187 {
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188 Matrix a (args(0).matrix_value ());
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189 Matrix b (args(1).matrix_value ());
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190
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191 if (! error_state)
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192 {
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193 Matrix c;
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194 kron (a, b, c);
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195 retval (0) = c;
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196 }
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197 }
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198 }
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199
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200 return retval;
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201 }