Mercurial > hg > octave-lyh
annotate scripts/sparse/bicgstab.m @ 17535:c12c688a35ed default tip lyh
Fix warnings
author | LYH <lyh.kernel@gmail.com> |
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date | Fri, 27 Sep 2013 17:43:27 +0800 |
parents | 7ad3b9ca66f5 |
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1 ## Copyright (C) 2008-2012 Radek Salac |
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2 ## Copyright (C) 2012 Carlo de Falco |
8416 | 3 ## |
4 ## This file is part of Octave. | |
5 ## | |
6 ## Octave is free software; you can redistribute it and/or modify it | |
7 ## under the terms of the GNU General Public License as published by | |
8 ## the Free Software Foundation; either version 3 of the License, or (at | |
9 ## your option) any later version. | |
10 ## | |
11 ## Octave is distributed in the hope that it will be useful, but | |
12 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
14 ## General Public License for more details. | |
15 ## | |
16 ## You should have received a copy of the GNU General Public License | |
17 ## along with Octave; see the file COPYING. If not, see | |
18 ## <http://www.gnu.org/licenses/>. | |
19 | |
20 ## -*- texinfo -*- | |
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21 ## @deftypefn {Function File} {@var{x} =} bicgstab (@var{A}, @var{b}, @var{rtol}, @var{maxit}, @var{M1}, @var{M2}, @var{x0}) |
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22 ## @deftypefnx {Function File} {@var{x} =} bicgstab (@var{A}, @var{b}, @var{rtol}, @var{maxit}, @var{P}) |
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23 ## @deftypefnx {Function File} {[@var{x}, @var{flag}, @var{relres}, @var{iter}, @var{resvec}] =} bicgstab (@var{A}, @var{b}, @dots{}) |
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24 ## Solve @code{A x = b} using the stabilizied Bi-conjugate gradient iterative |
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25 ## method. |
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26 ## |
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27 ## @itemize @minus |
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28 ## @item @var{rtol} is the relative tolerance, if not given or set to |
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29 ## [] the default value 1e-6 is used. |
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30 ## |
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31 ## @item @var{maxit} the maximum number of outer iterations, if not |
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32 ## given or set to [] the default value @code{min (20, numel (b))} is |
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33 ## used. |
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34 ## |
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35 ## @item @var{x0} the initial guess, if not given or set to [] the |
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36 ## default value @code{zeros (size (b))} is used. |
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37 ## @end itemize |
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38 ## |
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39 ## @var{A} can be passed as a matrix or as a function handle or |
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40 ## inline function @code{f} such that @code{f(x) = A*x}. |
8416 | 41 ## |
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42 ## The preconditioner @var{P} is given as @code{P = M1 * M2}. |
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43 ## Both @var{M1} and @var{M2} can be passed as a matrix or as a function |
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44 ## handle or inline function @code{g} such that @code{g(x) = M1 \ x} or |
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45 ## @code{g(x) = M2 \ x}. |
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46 ## |
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47 ## If called with more than one output parameter |
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48 ## |
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49 ## @itemize @minus |
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50 ## @item @var{flag} indicates the exit status: |
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51 ## |
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52 ## @itemize @minus |
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53 ## @item 0: iteration converged to the within the chosen tolerance |
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54 ## |
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55 ## @item 1: the maximum number of iterations was reached before convergence |
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56 ## |
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57 ## @item 3: the algorithm reached stagnation |
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58 ## @end itemize |
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59 ## |
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60 ## (the value 2 is unused but skipped for compatibility). |
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61 ## |
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62 ## @item @var{relres} is the final value of the relative residual. |
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63 ## |
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64 ## @item @var{iter} is the number of iterations performed. |
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65 ## |
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66 ## @item @var{resvec} is a vector containing the relative residual at each iteration. |
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67 ## @end itemize |
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68 ## |
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69 ## @seealso{bicg, cgs, gmres, pcg} |
8416 | 70 ## |
71 ## @end deftypefn | |
72 | |
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73 function [x, flag, relres, iter, resvec] = bicgstab (A, b, tol, maxit, |
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74 M1, M2, x0) |
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76 if (nargin >= 2 && nargin <= 7 && isvector (full (b))) |
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77 |
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78 if (ischar (A)) |
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79 A = str2func (A); |
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80 elseif (ismatrix (A)) |
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81 Ax = @(x) A * x; |
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82 elseif (isa (A, "function_handle")) |
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83 Ax = @(x) feval (A, x); |
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84 else |
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85 error (["bicgstab: first argument is expected " ... |
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86 "to be a function or a square matrix"]); |
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87 endif |
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88 |
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89 if (nargin < 3 || isempty (tol)) |
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90 tol = 1e-6; |
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91 endif |
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93 if (nargin < 4 || isempty (maxit)) |
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94 maxit = min (rows (b), 20); |
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95 endif |
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97 if (nargin < 5 || isempty (M1)) |
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98 M1m1x = @(x) x; |
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99 elseif (ischar (M1)) |
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100 M1m1x = str2func (M1); |
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101 elseif (ismatrix (M1)) |
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102 M1m1x = @(x) M1 \ x; |
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103 elseif (isa (M1, "function_handle")) |
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104 M1m1x = @(x) feval (M1, x); |
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105 else |
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106 error (["bicgstab: preconditioner is " ... |
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107 "expected to be a function or matrix"]); |
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108 endif |
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109 |
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110 if (nargin < 6 || isempty (M2)) |
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111 M2m1x = @(x) x; |
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112 elseif (ischar (M2)) |
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113 M2m1x = str2func (M2); |
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114 elseif (ismatrix (M2)) |
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115 M2m1x = @(x) M2 \ x; |
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116 elseif (isa (M2, "function_handle")) |
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117 M2m1x = @(x) feval (M2, x); |
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119 error (["bicgstab: preconditioner is "... |
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120 "expected to be a function or matrix"]); |
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121 endif |
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123 precon = @(x) M2m1x (M1m1x (x)); |
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125 if (nargin < 7 || isempty (x0)) |
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126 x0 = zeros (size (b)); |
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127 endif |
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128 |
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129 ## specifies initial estimate x0 |
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130 if (nargin < 7) |
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131 x = zeros (rows (b), 1); |
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133 x = x0; |
8416 | 134 endif |
135 | |
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136 norm_b = norm (b); |
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137 |
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138 res = b - Ax (x); |
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139 rr = res; |
8416 | 140 |
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141 ## Vector of the residual norms for each iteration. |
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142 resvec = norm (res) / norm_b; |
8416 | 143 |
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144 ## Default behaviour we don't reach tolerance tol within maxit iterations. |
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145 flag = 1; |
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146 |
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147 for iter = 1:maxit |
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148 rho_1 = rr' * res; |
8416 | 149 |
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150 if (iter == 1) |
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151 p = res; |
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152 else |
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153 beta = (rho_1 / rho_2) * (alpha / omega); |
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154 p = res + beta * (p - omega * v); |
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155 endif |
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156 |
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157 phat = precon (p); |
8416 | 158 |
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159 v = Ax (phat); |
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160 alpha = rho_1 / (rr' * v); |
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161 s = res - alpha * v; |
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162 |
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163 shat = precon (s); |
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164 |
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165 t = Ax (shat); |
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166 omega = (s' * t) / (t' * t); |
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167 x = x + alpha * phat + omega * shat; |
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168 res = s - omega * t; |
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169 rho_2 = rho_1; |
8416 | 170 |
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171 relres = norm (res) / norm_b; |
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172 resvec = [resvec; relres]; |
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173 |
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174 if (relres <= tol) |
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175 ## We reach tolerance tol within maxit iterations. |
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176 flag = 0; |
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177 break; |
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178 elseif (resvec(end) == resvec(end - 1)) |
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179 ## The method stagnates. |
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180 flag = 3; |
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181 break; |
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182 endif |
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183 endfor |
8416 | 184 |
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185 if (nargout < 2) |
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186 if (flag == 0) |
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187 printf ("bicgstab converged at iteration %i ", iter); |
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188 printf ("to a solution with relative residual %e\n", relres); |
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189 elseif (flag == 3) |
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190 printf ("bicgstab stopped at iteration %i ", iter); |
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191 printf ("without converging to the desired tolerance %e\n", tol); |
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192 printf ("because the method stagnated.\n"); |
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193 printf ("The iterate returned (number %i) ", iter); |
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194 printf ("has relative residual %e\n", relres); |
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195 else |
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196 printf ("bicgstab stopped at iteration %i ", iter); |
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197 printf ("without converging to the desired toleranc %e\n", tol); |
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198 printf ("because the maximum number of iterations was reached.\n"); |
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199 printf ("The iterate returned (number %i) ", iter); |
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200 printf ("has relative residual %e\n", relres); |
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201 endif |
9278 | 202 endif |
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203 |
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204 else |
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205 print_usage (); |
9278 | 206 endif |
207 | |
8416 | 208 endfunction |
209 | |
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210 |
8416 | 211 %!demo |
212 %! % Solve system of A*x=b | |
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213 %! A = [5 -1 3;-1 2 -2;3 -2 3]; |
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214 %! b = [7;-1;4]; |
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215 %! [x, flag, relres, iter, resvec] = bicgstab (A, b) |
8416 | 216 |
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217 %!shared A, b, n, M1, M2 |
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218 %! |
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219 %!test |
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220 %! n = 100; |
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221 %! A = spdiags ([-2*ones(n,1) 4*ones(n,1) -ones(n,1)], -1:1, n, n); |
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222 %! b = sum (A, 2); |
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223 %! tol = 1e-8; |
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224 %! maxit = 15; |
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225 %! M1 = spdiags ([ones(n,1)/(-2) ones(n,1)],-1:0, n, n); |
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226 %! M2 = spdiags ([4*ones(n,1) -ones(n,1)], 0:1, n, n); |
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227 %! [x, flag, relres, iter, resvec] = bicgstab (A, b, tol, maxit, M1, M2); |
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228 %! assert (x, ones (size (b)), 1e-7); |
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229 %! |
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230 %!test |
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231 %!function y = afun (x, a) |
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232 %! y = a * x; |
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233 %!endfunction |
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234 %! |
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235 %! tol = 1e-8; |
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236 %! maxit = 15; |
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237 %! |
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238 %! [x, flag, relres, iter, resvec] = bicgstab (@(x) afun (x, A), b, |
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239 %! tol, maxit, M1, M2); |
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240 %! assert (x, ones (size (b)), 1e-7); |
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241 |
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242 %!test |
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243 %! n = 100; |
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244 %! tol = 1e-8; |
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245 %! a = sprand (n, n, .1); |
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246 %! A = a'*a + 100 * eye (n); |
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247 %! b = sum (A, 2); |
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248 %! [x, flag, relres, iter, resvec] = bicgstab (A, b, tol, [], diag (diag (A))); |
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249 %! assert (x, ones (size (b)), 1e-7); |
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250 |
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251 %!test |
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252 %! A = [1 + 1i, 1 + 1i; 2 - 1i, 2 + 1i]; |
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253 %! b = A * [1; 1]; |
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254 %! [x, flag, relres, iter, resvec] = bicgstab (A, b); |
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255 %! assert (x, [1; 1], 1e-6); |