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annotate scripts/optimization/fsolve.m @ 8562:a6edd5c23cb5
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author | Jaroslav Hajek <highegg@gmail.com> |
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date | Thu, 22 Jan 2009 11:10:47 +0100 |
parents | 1cb63ac13934 |
children | c136d313206a |
rev | line source |
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1 ## Copyright (C) 2008 VZLU Prague, a.s. |
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2 ## |
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3 ## This file is part of Octave. |
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4 ## |
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5 ## Octave is free software; you can redistribute it and/or modify it |
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6 ## under the terms of the GNU General Public License as published by |
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7 ## the Free Software Foundation; either version 3 of the License, or (at |
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8 ## your option) any later version. |
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9 ## |
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10 ## Octave is distributed in the hope that it will be useful, but |
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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13 ## General Public License for more details. |
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14 ## |
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15 ## You should have received a copy of the GNU General Public License |
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16 ## along with Octave; see the file COPYING. If not, see |
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17 ## <http://www.gnu.org/licenses/>. |
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18 ## |
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19 ## Author: Jaroslav Hajek <highegg@gmail.com> |
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20 |
8466 | 21 ## -*- texinfo -*- |
8513 | 22 ## @deftypefn{Function File} {} fsolve (@var{fcn}, @var{x0}, @var{options}) |
8466 | 23 ## @deftypefnx{Function File} {[@var{x}, @var{fvec}, @var{info}, @var{output}, @var{fjac}]} = fsolve (@var{fcn}, @dots{}) |
8513 | 24 ## Solve a system of nonlinear equations defined by the function @var{fcn}. |
8466 | 25 ## @var{fcn} should accepts a vector (array) defining the unknown variables, |
26 ## and return a vector of left-hand sides of the equations. Right-hand sides | |
27 ## are defined to be zeros. | |
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28 ## In other words, this function attempts to determine a vector @var{x} such |
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29 ## that @code{@var{fcn} (@var{x})} gives (approximately) all zeros. |
8466 | 30 ## @var{x0} determines a starting guess. The shape of @var{x0} is preserved |
31 ## in all calls to @var{fcn}, but otherwise it is treated as a column vector. | |
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32 ## @var{options} is a structure specifying additional options. |
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33 ## Currently, @code{fsolve} recognizes these options: |
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34 ## @code{"FunValCheck"}, @code{"OutputFcn"}, @code{"TolX"}, |
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35 ## @code{"TolFun"}, @code{"MaxIter"}, @code{"MaxFunEvals"}, and |
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36 ## @code{"Jacobian"}. |
8466 | 37 ## |
8513 | 38 ## If @code{"Jacobian"} is @code{"on"}, it specifies that @var{fcn}, |
39 ## called with 2 output arguments, also returns the Jacobian matrix | |
40 ## of right-hand sides at the requested point. @code{"TolX"} specifies | |
41 ## the termination tolerance in the unknown variables, while | |
42 ## @code{"TolFun"} is a tolerance for equations. Default is @code{1e1*eps} | |
43 ## for @code{"TolX"} and @code{1e2*eps} for @code{"TolFun"}. | |
8466 | 44 ## For description of the other options, see @code{optimset}. |
45 ## | |
46 ## On return, @var{fval} contains the value of the function @var{fcn} | |
47 ## evaluated at @var{x}, and @var{info} may be one of the following values: | |
48 ## | |
49 ## @table @asis | |
50 ## @item 1 | |
51 ## Converged to a solution point. Relative residual error is less than specified | |
52 ## by TolFun. | |
53 ## @item 2 | |
54 ## Last relative step size was less that TolX. | |
55 ## @item 3 | |
56 ## Last relative decrease in residual was less than TolF. | |
57 ## @item 0 | |
58 ## Iteration limit exceeded. | |
59 ## @item -3 | |
60 ## The trust region radius became excessively small. | |
61 ## @end table | |
62 ## | |
63 ## Note: If you only have a single nonlinear equation of one variable, using | |
64 ## @code{fzero} is usually a much better idea. | |
8513 | 65 ## @seealso{fzero, optimset} |
8466 | 66 ## @end deftypefn |
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67 |
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68 function [x, fvec, info, output, fjac] = fsolve (fcn, x0, options) |
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69 |
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70 if (nargin < 3) |
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71 options = struct (); |
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72 endif |
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73 |
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74 xsiz = size (x0); |
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75 n = numel (x0); |
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76 |
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77 has_jac = strcmpi (optimget (options, "Jacobian", "off"), "on"); |
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78 maxiter = optimget (options, "MaxIter", Inf); |
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79 maxfev = optimget (options, "MaxFunEvals", Inf); |
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80 outfcn = optimget (options, "OutputFcn"); |
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81 pivoting = optimget (options, "Pivoting", false); |
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82 funvalchk = strcmpi (optimget (options, "FunValCheck", "off"), "on"); |
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83 |
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84 if (funvalchk) |
8507 | 85 ## Replace fun with a guarded version. |
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86 fun = @(x) guarded_eval (fun, x); |
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87 endif |
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88 |
8466 | 89 ## These defaults are rather stringent. I think that normally, user |
90 ## prefers accuracy to performance. | |
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91 |
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92 macheps = eps (class (x0)); |
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93 |
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94 tolx = optimget (options, "TolX", 1e1*macheps); |
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95 tolf = optimget (options, "TolFun", 1e2*macheps); |
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96 |
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97 factor = 100; |
8466 | 98 ## FIXME: TypicalX corresponds to user scaling (???) |
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99 autodg = true; |
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100 |
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101 niter = 1; |
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102 nfev = 0; |
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103 |
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104 x = x0(:); |
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105 info = 0; |
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106 |
8507 | 107 ## Outer loop. |
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108 while (niter < maxiter && nfev < maxfev && ! info) |
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109 |
8507 | 110 ## Calculate function value and Jacobian (possibly via FD). |
111 ## Handle arbitrary shapes of x and f and remember them. | |
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112 if (has_jac) |
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113 [fvec, fjac] = fcn (reshape (x, xsiz)); |
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114 nfev ++; |
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115 else |
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116 [fvec, fjac] = __fdjac__ (fcn, reshape (x, xsiz)); |
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117 nfev += 1 + length (x); |
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118 endif |
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119 fsiz = size (fvec); |
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120 fvec = fvec(:); |
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121 fn = norm (fvec); |
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122 m = length (fvec); |
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123 n = length (x); |
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124 if (m < n) |
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125 error ("fsolve:under", "cannot solve underdetermined systems"); |
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126 elseif (m > n && niter == 1) |
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127 if (isempty (optimget (options, "TolFun"))) |
8466 | 128 warning ("an overdetermined system cannot usually be solved exactly; consider specifying the TolFun option"); |
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129 endif |
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130 endif |
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131 |
8507 | 132 ## Get QR factorization of the jacobian. |
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133 if (pivoting) |
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134 [q, r, p] = qr (fjac); |
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135 else |
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136 [q, r] = qr (fjac); |
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137 endif |
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138 |
8507 | 139 ## Get column norms, use them as scaling factor. |
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140 jcn = norm (fjac, 'columns').'; |
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141 if (niter == 1) |
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142 if (autodg) |
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143 dg = jcn; |
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144 dg(dg == 0) = 1; |
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145 endif |
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146 xn = norm (dg .* x); |
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147 delta = factor * xn; |
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148 endif |
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149 |
8507 | 150 ## Rescale if necessary. |
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151 if (autodg) |
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152 dg = max (dg, jcn); |
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153 endif |
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154 |
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155 nfail = 0; |
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156 nsuc = 0; |
8507 | 157 ## Inner loop. |
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158 while (niter <= maxiter && nfev < maxfev && ! info) |
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159 |
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160 qtf = q'*fvec; |
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161 |
8507 | 162 ## Get TR model (dogleg) minimizer |
163 ## in case of an overdetermined system, get lsq solution. | |
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164 s = - __dogleg__ (r(1:n,:), qtf(1:n), dg, delta); |
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165 if (pivoting) |
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166 s = p * s; |
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167 endif |
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168 sn = norm (dg .* s); |
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169 |
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170 if (niter == 1) |
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171 delta = min (delta, sn); |
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172 endif |
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173 |
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174 fvec1 = fcn (reshape (x + s, xsiz)) (:); |
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175 fn1 = norm (fvec1); |
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176 |
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177 if (fn1 < fn) |
8507 | 178 ## Scaled actual reduction. |
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179 actred = 1 - (fn1/fn)^2; |
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180 else |
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181 actred = -1; |
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182 endif |
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183 |
8507 | 184 ## Scaled predicted reduction, and ratio. |
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185 if (pivoting) |
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186 w = qtf + r*(p'*s); |
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187 else |
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188 w = qtf + r*s; |
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189 endif |
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190 t = norm (w); |
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191 if (t < fn) |
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192 prered = 1 - (t/fn)^2; |
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193 ratio = actred / prered; |
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194 else |
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195 prered = 0; |
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196 ratio = 0; |
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197 endif |
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198 |
8507 | 199 ## Update delta. |
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200 if (ratio < 0.1) |
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201 nsuc = 0; |
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202 nfail ++; |
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203 delta *= 0.5; |
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204 if (delta <= sqrt (macheps)*xn) |
8507 | 205 ## Trust region became uselessly small. |
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206 info = -3; |
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207 break; |
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208 endif |
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209 else |
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210 nfail = 0; |
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211 nsuc ++; |
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212 if (abs (1-ratio) <= 0.1) |
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213 delta = 2*sn; |
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214 elseif (ratio >= 0.5 || nsuc > 1) |
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215 delta = max (delta, 2*sn); |
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216 endif |
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217 endif |
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218 |
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219 if (ratio >= 1e-4) |
8507 | 220 ## Successful iteration. |
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221 x += s; |
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222 xn = norm (dg .* x); |
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223 fvec = fvec1; |
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224 fn = fn1; |
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225 niter ++; |
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226 endif |
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227 |
8466 | 228 ## Tests for termination conditions. A mysterious place, anything |
229 ## can happen if you change something here... | |
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230 |
8466 | 231 ## The rule of thumb (which I'm not sure M*b is quite following) |
232 ## is that for a tolerance that depends on scaling, only 0 makes | |
233 ## sense as a default value. But 0 usually means uselessly long | |
234 ## iterations, so we need scaling-independent tolerances wherever | |
235 ## possible. | |
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236 |
8466 | 237 ## FIXME -- why tolf*n*xn? If abs (e) ~ abs(x) * eps is a vector |
238 ## of perturbations of x, then norm (fjac*e) <= eps*n*xn, i.e. by | |
239 ## tolf ~ eps we demand as much accuracy as we can expect. | |
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240 if (fn <= tolf*n*xn) |
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241 info = 1; |
8466 | 242 ## The following tests done only after successful step. |
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243 elseif (actred > 0) |
8466 | 244 ## This one is classic. Note that we use scaled variables again, |
245 ## but compare to scaled step, so nothing bad. | |
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246 if (sn <= tolx*xn) |
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247 info = 2; |
8466 | 248 ## Again a classic one. It seems weird to use the same tolf |
249 ## for two different tests, but that's what M*b manual appears | |
250 ## to say. | |
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251 elseif (actred < tolf) |
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252 info = 3; |
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253 endif |
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254 endif |
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255 |
8507 | 256 ## Criterion for recalculating jacobian. |
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257 if (nfail == 2) |
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258 break; |
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259 endif |
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260 |
8507 | 261 ## Compute the scaled Broyden update. |
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262 u = (fvec1 - q*w) / sn; |
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263 v = dg .* ((dg .* s) / sn); |
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264 if (pivoting) |
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265 v = p'*v; |
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266 endif |
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267 |
8507 | 268 ## Update the QR factorization. |
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269 [q, r] = qrupdate (q, r, u, v); |
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270 |
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271 endwhile |
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272 endwhile |
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273 |
8507 | 274 ## Restore original shapes. |
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275 x = reshape (x, xsiz); |
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276 fvec = reshape (fvec, fsiz); |
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277 |
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278 output.iterations = niter; |
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279 output.funcCount = niter + 2; |
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280 |
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281 endfunction |
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282 |
8466 | 283 ## An assistant function that evaluates a function handle and checks for |
284 ## bad results. | |
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285 function fx = guarded_eval (fun, x) |
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286 fx = fun (x); |
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287 if (! all (isreal (fx))) |
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288 error ("fsolve:notreal", "fsolve: non-real value encountered"); |
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289 elseif (any (isnan (fx))) |
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290 error ("fsolve:isnan", "fsolve: NaN value encountered"); |
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291 endif |
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292 endfunction |
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293 |
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294 %!function retval = f (p) |
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295 %! x = p(1); |
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296 %! y = p(2); |
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297 %! z = p(3); |
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298 %! retval = zeros (3, 1); |
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299 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
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300 %! retval(2) = 3*x + 2**y -z**3 + 1; |
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301 %! retval(3) = x + y + z - 5; |
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302 %!test |
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303 %! x_opt = [ 0.599054; |
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304 %! 2.395931; |
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305 %! 2.005014 ]; |
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306 %! tol = 1.0e-5; |
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307 %! [x, fval, info] = fsolve (@f, [ 0.5; 2.0; 2.5 ]); |
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308 %! assert (info > 0); |
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309 %! assert (norm (x - x_opt, Inf) < tol); |
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310 %! assert (norm (fval) < tol); |
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311 |
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312 %!function retval = f (p) |
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313 %! x = p(1); |
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314 %! y = p(2); |
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315 %! z = p(3); |
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316 %! w = p(4); |
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317 %! retval = zeros (4, 1); |
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318 %! retval(1) = 3*x + 4*y + exp (z + w) - 1.007; |
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319 %! retval(2) = 6*x - 4*y + exp (3*z + w) - 11; |
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320 %! retval(3) = x^4 - 4*y^2 + 6*z - 8*w - 20; |
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321 %! retval(4) = x^2 + 2*y^3 + z - w - 4; |
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322 %!test |
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323 %! x_opt = [ -0.767297326653401, 0.590671081117440, 1.47190018629642, -1.52719341133957 ]; |
43795cf108d0
initial implementation of fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
diff
changeset
|
324 %! tol = 1.0e-5; |
43795cf108d0
initial implementation of fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
diff
changeset
|
325 %! [x, fval, info] = fsolve (@f, [-1, 1, 2, -1]); |
43795cf108d0
initial implementation of fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
diff
changeset
|
326 %! assert (info > 0); |
8383
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
327 %! assert (norm (x - x_opt, Inf) < tol); |
8306
43795cf108d0
initial implementation of fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
diff
changeset
|
328 %! assert (norm (fval) < tol); |
8383
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
329 |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
330 %!function retval = f (p) |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
331 %! x = p(1); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
332 %! y = p(2); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
333 %! z = p(3); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
334 %! retval = zeros (3, 1); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
335 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
336 %! retval(2) = 3*x + 2**y -z**3 + 1; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
337 %! retval(3) = x + y + z - 5; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
338 %! retval(4) = x*x + y - z*log(z) - 1.36; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
339 %!test |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
340 %! x_opt = [ 0.599054; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
341 %! 2.395931; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
342 %! 2.005014 ]; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
343 %! tol = 1.0e-5; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
344 %! [x, fval, info] = fsolve (@f, [ 0.5; 2.0; 2.5 ], optimset ("TolFun", 1e-6)); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
345 %! assert (info > 0); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
346 %! assert (norm (x - x_opt, Inf) < tol); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
347 %! assert (norm (fval) < tol); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
348 |
8395
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
349 %!function retval = f (p) |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
350 %! x = p(1); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
351 %! y = p(2); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
352 %! z = p(3); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
353 %! retval = zeros (3, 1); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
354 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
355 %! retval(2) = 3*x + 2**y -z**3 + 1; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
356 %! retval(3) = x + y + z - 5; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
357 %!test |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
358 %! x_opt = [ 0.599054; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
359 %! 2.395931; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
360 %! 2.005014 ]; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
361 %! tol = 1.0e-5; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
362 %! opt = optimset ("Pivoting", true); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
363 %! [x, fval, info] = fsolve (@f, [ 0.5; 2.0; 2.5 ], opt); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
364 %! assert (info > 0); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
365 %! assert (norm (x - x_opt, Inf) < tol); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
366 %! assert (norm (fval) < tol); |