Mercurial > hg > octave-lyh
annotate scripts/optimization/fsolve.m @ 8507:cadc73247d65
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author | John W. Eaton <jwe@octave.org> |
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date | Tue, 13 Jan 2009 14:08:36 -0500 |
parents | 866492035ecf |
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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 -*- |
22 ## @deftypefn{Function File} {} fsolve(@var{fcn}, @var{x0}, @var{options}) | |
23 ## @deftypefnx{Function File} {[@var{x}, @var{fvec}, @var{info}, @var{output}, @var{fjac}]} = fsolve (@var{fcn}, @dots{}) | |
24 ## Solves a system of nonlinear equations defined by the function @var{fcn}. | |
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. | |
28 ## In other words, this function attempts to determine a vector @var{X} such | |
29 ## that @code{@var{fcn}(@var{X})} gives (approximately) all zeros. | |
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. | |
32 ## @var{options} is a structure specifying additional options. Currently, fsolve | |
33 ## recognizes these options: FunValCheck, OutputFcn, TolX, TolFun, MaxIter, | |
34 ## MaxFunEvals and Jacobian. | |
35 ## | |
36 ## If Jacobian is 'on', it specifies that @var{fcn}, called with 2 output arguments, | |
37 ## also returns the Jacobian matrix of right-hand sides at the requested point. | |
38 ## TolX specifies the termination tolerance in the unknown variables, while | |
39 ## TolFun is a tolerance for equations. Default is @code{1e1*eps} | |
40 ## for TolX and @code{1e2*eps} for TolFun. | |
41 ## For description of the other options, see @code{optimset}. | |
42 ## | |
43 ## On return, @var{fval} contains the value of the function @var{fcn} | |
44 ## evaluated at @var{x}, and @var{info} may be one of the following values: | |
45 ## | |
46 ## @table @asis | |
47 ## @item 1 | |
48 ## Converged to a solution point. Relative residual error is less than specified | |
49 ## by TolFun. | |
50 ## @item 2 | |
51 ## Last relative step size was less that TolX. | |
52 ## @item 3 | |
53 ## Last relative decrease in residual was less than TolF. | |
54 ## @item 0 | |
55 ## Iteration limit exceeded. | |
56 ## @item -3 | |
57 ## The trust region radius became excessively small. | |
58 ## @end table | |
59 ## | |
60 ## Note: If you only have a single nonlinear equation of one variable, using | |
61 ## @code{fzero} is usually a much better idea. | |
62 ## @seealso{fzero,optimset} | |
63 ## @end deftypefn | |
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64 |
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65 function [x, fvec, info, output, fjac] = fsolve (fcn, x0, options) |
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66 |
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67 if (nargin < 3) |
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68 options = struct (); |
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69 endif |
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70 |
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71 xsiz = size (x0); |
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72 n = numel (x0); |
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73 |
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74 has_jac = strcmpi (optimget (options, "Jacobian", "off"), "on"); |
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75 maxiter = optimget (options, "MaxIter", Inf); |
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76 maxfev = optimget (options, "MaxFunEvals", Inf); |
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77 outfcn = optimget (options, "OutputFcn"); |
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78 pivoting = optimget (options, "Pivoting", false); |
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79 funvalchk = strcmpi (optimget (options, "FunValCheck", "off"), "on"); |
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80 |
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81 if (funvalchk) |
8507 | 82 ## Replace fun with a guarded version. |
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83 fun = @(x) guarded_eval (fun, x); |
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84 endif |
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85 |
8466 | 86 ## These defaults are rather stringent. I think that normally, user |
87 ## prefers accuracy to performance. | |
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88 |
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89 macheps = eps (class (x0)); |
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90 |
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91 tolx = optimget (options, "TolX", 1e1*macheps); |
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92 tolf = optimget (options, "TolFun", 1e2*macheps); |
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93 |
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94 factor = 100; |
8466 | 95 ## FIXME: TypicalX corresponds to user scaling (???) |
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96 autodg = true; |
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97 |
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98 niter = 1; |
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99 nfev = 0; |
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100 |
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101 x = x0(:); |
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102 info = 0; |
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103 |
8507 | 104 ## Outer loop. |
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105 while (niter < maxiter && nfev < maxfev && ! info) |
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106 |
8507 | 107 ## Calculate function value and Jacobian (possibly via FD). |
108 ## Handle arbitrary shapes of x and f and remember them. | |
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109 if (has_jac) |
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110 [fvec, fjac] = fcn (reshape (x, xsiz)); |
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111 nfev ++; |
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112 else |
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113 [fvec, fjac] = __fdjac__ (fcn, reshape (x, xsiz)); |
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114 nfev += 1 + length (x); |
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115 endif |
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116 fsiz = size (fvec); |
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117 fvec = fvec(:); |
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118 fn = norm (fvec); |
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119 m = length (fvec); |
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120 n = length (x); |
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121 if (m < n) |
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122 error ("fsolve:under", "cannot solve underdetermined systems"); |
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123 elseif (m > n && niter == 1) |
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124 if (isempty (optimget (options, "TolFun"))) |
8466 | 125 warning ("an overdetermined system cannot usually be solved exactly; consider specifying the TolFun option"); |
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126 endif |
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127 endif |
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128 |
8507 | 129 ## Get QR factorization of the jacobian. |
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130 if (pivoting) |
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131 [q, r, p] = qr (fjac); |
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132 else |
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133 [q, r] = qr (fjac); |
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134 endif |
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135 |
8507 | 136 ## Get column norms, use them as scaling factor. |
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137 jcn = norm (fjac, 'columns').'; |
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138 if (niter == 1) |
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139 if (autodg) |
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140 dg = jcn; |
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141 dg(dg == 0) = 1; |
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142 endif |
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143 xn = norm (dg .* x); |
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144 delta = factor * xn; |
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145 endif |
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146 |
8507 | 147 ## Rescale if necessary. |
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148 if (autodg) |
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149 dg = max (dg, jcn); |
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150 endif |
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151 |
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152 nfail = 0; |
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153 nsuc = 0; |
8507 | 154 ## Inner loop. |
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155 while (niter <= maxiter && nfev < maxfev && ! info) |
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156 |
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157 qtf = q'*fvec; |
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158 |
8507 | 159 ## Get TR model (dogleg) minimizer |
160 ## in case of an overdetermined system, get lsq solution. | |
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161 s = - __dogleg__ (r(1:n,:), qtf(1:n), dg, delta); |
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162 if (pivoting) |
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163 s = p * s; |
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164 endif |
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165 sn = norm (dg .* s); |
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166 |
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167 if (niter == 1) |
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168 delta = min (delta, sn); |
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169 endif |
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170 |
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171 fvec1 = fcn (reshape (x + s, xsiz)) (:); |
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172 fn1 = norm (fvec1); |
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173 |
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174 if (fn1 < fn) |
8507 | 175 ## Scaled actual reduction. |
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176 actred = 1 - (fn1/fn)^2; |
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177 else |
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178 actred = -1; |
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179 endif |
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180 |
8507 | 181 ## Scaled predicted reduction, and ratio. |
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182 if (pivoting) |
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183 w = qtf + r*(p'*s); |
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184 else |
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185 w = qtf + r*s; |
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186 endif |
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187 t = norm (w); |
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188 if (t < fn) |
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189 prered = 1 - (t/fn)^2; |
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190 ratio = actred / prered; |
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191 else |
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192 prered = 0; |
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193 ratio = 0; |
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194 endif |
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195 |
8507 | 196 ## Update delta. |
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197 if (ratio < 0.1) |
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198 nsuc = 0; |
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199 nfail ++; |
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200 delta *= 0.5; |
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201 if (delta <= sqrt (macheps)*xn) |
8507 | 202 ## Trust region became uselessly small. |
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203 info = -3; |
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204 break; |
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205 endif |
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206 else |
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207 nfail = 0; |
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208 nsuc ++; |
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209 if (abs (1-ratio) <= 0.1) |
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210 delta = 2*sn; |
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211 elseif (ratio >= 0.5 || nsuc > 1) |
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212 delta = max (delta, 2*sn); |
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213 endif |
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214 endif |
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215 |
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216 if (ratio >= 1e-4) |
8507 | 217 ## Successful iteration. |
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218 x += s; |
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219 xn = norm (dg .* x); |
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220 fvec = fvec1; |
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221 fn = fn1; |
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222 niter ++; |
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223 endif |
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224 |
8466 | 225 ## Tests for termination conditions. A mysterious place, anything |
226 ## can happen if you change something here... | |
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227 |
8466 | 228 ## The rule of thumb (which I'm not sure M*b is quite following) |
229 ## is that for a tolerance that depends on scaling, only 0 makes | |
230 ## sense as a default value. But 0 usually means uselessly long | |
231 ## iterations, so we need scaling-independent tolerances wherever | |
232 ## possible. | |
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233 |
8466 | 234 ## FIXME -- why tolf*n*xn? If abs (e) ~ abs(x) * eps is a vector |
235 ## of perturbations of x, then norm (fjac*e) <= eps*n*xn, i.e. by | |
236 ## tolf ~ eps we demand as much accuracy as we can expect. | |
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237 if (fn <= tolf*n*xn) |
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238 info = 1; |
8466 | 239 ## The following tests done only after successful step. |
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240 elseif (actred > 0) |
8466 | 241 ## This one is classic. Note that we use scaled variables again, |
242 ## but compare to scaled step, so nothing bad. | |
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243 if (sn <= tolx*xn) |
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244 info = 2; |
8466 | 245 ## Again a classic one. It seems weird to use the same tolf |
246 ## for two different tests, but that's what M*b manual appears | |
247 ## to say. | |
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248 elseif (actred < tolf) |
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249 info = 3; |
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250 endif |
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251 endif |
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252 |
8507 | 253 ## Criterion for recalculating jacobian. |
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254 if (nfail == 2) |
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255 break; |
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256 endif |
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257 |
8507 | 258 ## Compute the scaled Broyden update. |
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259 u = (fvec1 - q*w) / sn; |
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260 v = dg .* ((dg .* s) / sn); |
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261 if (pivoting) |
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262 v = p'*v; |
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263 endif |
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264 |
8507 | 265 ## Update the QR factorization. |
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266 [q, r] = qrupdate (q, r, u, v); |
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267 |
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268 endwhile |
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269 endwhile |
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270 |
8507 | 271 ## Restore original shapes. |
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272 x = reshape (x, xsiz); |
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273 fvec = reshape (fvec, fsiz); |
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274 |
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275 output.iterations = niter; |
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276 output.funcCount = niter + 2; |
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277 |
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278 endfunction |
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279 |
8466 | 280 ## An assistant function that evaluates a function handle and checks for |
281 ## bad results. | |
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282 function fx = guarded_eval (fun, x) |
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283 fx = fun (x); |
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284 if (! all (isreal (fx))) |
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285 error ("fsolve:notreal", "fsolve: non-real value encountered"); |
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286 elseif (any (isnan (fx))) |
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287 error ("fsolve:isnan", "fsolve: NaN value encountered"); |
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288 endif |
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289 endfunction |
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290 |
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291 %!function retval = f (p) |
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292 %! x = p(1); |
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293 %! y = p(2); |
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294 %! z = p(3); |
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295 %! retval = zeros (3, 1); |
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296 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
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297 %! retval(2) = 3*x + 2**y -z**3 + 1; |
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298 %! retval(3) = x + y + z - 5; |
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299 %!test |
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300 %! x_opt = [ 0.599054; |
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301 %! 2.395931; |
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302 %! 2.005014 ]; |
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303 %! tol = 1.0e-5; |
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304 %! [x, fval, info] = fsolve (@f, [ 0.5; 2.0; 2.5 ]); |
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305 %! assert (info > 0); |
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306 %! assert (norm (x - x_opt, Inf) < tol); |
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307 %! assert (norm (fval) < tol); |
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308 |
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309 %!function retval = f (p) |
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310 %! x = p(1); |
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311 %! y = p(2); |
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312 %! z = p(3); |
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313 %! w = p(4); |
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314 %! retval = zeros (4, 1); |
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315 %! retval(1) = 3*x + 4*y + exp (z + w) - 1.007; |
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316 %! retval(2) = 6*x - 4*y + exp (3*z + w) - 11; |
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317 %! retval(3) = x^4 - 4*y^2 + 6*z - 8*w - 20; |
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318 %! retval(4) = x^2 + 2*y^3 + z - w - 4; |
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319 %!test |
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320 %! x_opt = [ -0.767297326653401, 0.590671081117440, 1.47190018629642, -1.52719341133957 ]; |
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321 %! tol = 1.0e-5; |
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322 %! [x, fval, info] = fsolve (@f, [-1, 1, 2, -1]); |
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323 %! assert (info > 0); |
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324 %! assert (norm (x - x_opt, Inf) < tol); |
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325 %! assert (norm (fval) < tol); |
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326 |
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327 %!function retval = f (p) |
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Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
328 %! x = p(1); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
329 %! y = p(2); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
330 %! z = p(3); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
331 %! retval = zeros (3, 1); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
332 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
333 %! retval(2) = 3*x + 2**y -z**3 + 1; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
334 %! retval(3) = x + y + z - 5; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
335 %! 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
|
336 %!test |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
337 %! x_opt = [ 0.599054; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
338 %! 2.395931; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
339 %! 2.005014 ]; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
340 %! tol = 1.0e-5; |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
341 %! [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
|
342 %! assert (info > 0); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
343 %! assert (norm (x - x_opt, Inf) < tol); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
344 %! assert (norm (fval) < tol); |
a762d9daa700
allow overdetermined systems in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8306
diff
changeset
|
345 |
8395
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
346 %!function retval = f (p) |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
347 %! x = p(1); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
348 %! y = p(2); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
349 %! z = p(3); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
350 %! retval = zeros (3, 1); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
351 %! retval(1) = sin(x) + y**2 + log(z) - 7; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
352 %! retval(2) = 3*x + 2**y -z**3 + 1; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
353 %! retval(3) = x + y + z - 5; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
354 %!test |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
355 %! x_opt = [ 0.599054; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
356 %! 2.395931; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
357 %! 2.005014 ]; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
358 %! tol = 1.0e-5; |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
359 %! opt = optimset ("Pivoting", true); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
360 %! [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
|
361 %! assert (info > 0); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
362 %! assert (norm (x - x_opt, Inf) < tol); |
88fd356b0d95
optionally allow pivoting in fsolve
Jaroslav Hajek <highegg@gmail.com>
parents:
8383
diff
changeset
|
363 %! assert (norm (fval) < tol); |