Mercurial > hg > octave-nkf
annotate scripts/optimization/fminsearch.m @ 18549:16b0cd465ecd
Handle special case of 0 for pinv with Diagonal matrices.
* CDiagMatrix.cc (pseudo_inverse), dDiagMatrix.cc (pseudo_inverse),
fCDiagMatrix.cc (pseudo_inverse), fDiagMatrix.cc (pseudo_inverse):
Check for special case where element is 0 to avoid a division by
zero error.
author | Rik <rik@octave.org> |
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date | Mon, 17 Feb 2014 10:04:27 -0800 |
parents | d63878346099 |
children | 0850b5212619 446c46af4b42 |
rev | line source |
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14895 | 1 ## Copyright (C) 2003,2012 Andy Adler |
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2 ## Copyright (C) 2002, 2013 N.J.Higham |
14895 | 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 -*- | |
21 ## @deftypefn {Function File} {@var{x} =} fminsearch (@var{fun}, @var{x0}) | |
22 ## @deftypefnx {Function File} {@var{x} =} fminsearch (@var{fun}, @var{x0}, @var{options}) | |
23 ## @deftypefnx {Function File} {[@var{x}, @var{fval}] =} fminsearch (@dots{}) | |
24 ## | |
25 ## Find a value of @var{x} which minimizes the function @var{fun}. | |
26 ## The search begins at the point @var{x0} and iterates using the | |
27 ## Nelder & Mead Simplex algorithm (a derivative-free method). This algorithm | |
28 ## is better-suited to functions which have discontinuities or for which | |
29 ## a gradient-based search such as @code{fminunc} fails. | |
30 ## | |
31 ## Options for the search are provided in the parameter @var{options} using | |
32 ## the function @code{optimset}. Currently, @code{fminsearch} accepts the | |
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33 ## options: @qcode{"TolX"}, @qcode{"MaxFunEvals"}, @qcode{"MaxIter"}, |
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34 ## @qcode{"Display"}. For a description of these options, see |
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35 ## @code{optimset}. |
14895 | 36 ## |
37 ## On exit, the function returns @var{x}, the minimum point, | |
38 ## and @var{fval}, the function value thereof. | |
39 ## | |
40 ## Example usages: | |
41 ## | |
42 ## @example | |
43 ## @group | |
44 ## fminsearch (@@(x) (x(1)-5).^2+(x(2)-8).^4, [0;0]) | |
45 ## | |
46 ## fminsearch (inline ("(x(1)-5).^2+(x(2)-8).^4", "x"), [0;0]) | |
47 ## @end group | |
48 ## @end example | |
49 ## @seealso{fminbnd, fminunc, optimset} | |
50 ## @end deftypefn | |
51 | |
52 ## PKG_ADD: ## Discard result to avoid polluting workspace with ans at startup. | |
53 ## PKG_ADD: [~] = __all_opts__ ("fminsearch"); | |
54 | |
55 ## FIXME: Add support for "exitflag" output variable | |
56 ## FIXME: Add support for "output" output variable | |
57 ## FIXME: For Display option, add 'final' and 'notify' options. Not too hard. | |
58 ## FIXME: Add support for OutputFcn. See fminunc for a template | |
59 ## FIXME: Add support for exiting based on TolFun. See fminunc for an idea. | |
60 | |
61 function [x, fval] = fminsearch (fun, x0, options = struct ()) | |
62 | |
63 ## Get default options if requested. | |
64 if (nargin == 1 && ischar (fun) && strcmp (fun, "defaults")) | |
65 x = optimset ("Display", "notify", "FunValCheck", "off", | |
66 "MaxFunEvals", 400, "MaxIter", 400, | |
67 "OutputFcn", [], | |
68 "TolFun", 1e-7, "TolX", 1e-4); | |
69 return; | |
70 endif | |
71 | |
72 if (nargin < 2 || nargin > 3) | |
73 print_usage (); | |
74 endif | |
75 | |
76 x = nmsmax (fun, x0, options); | |
77 | |
78 if (isargout (2)) | |
79 fval = feval (fun, x); | |
80 endif | |
81 | |
82 endfunction | |
83 | |
84 ##NMSMAX Nelder-Mead simplex method for direct search optimization. | |
85 ## [x, fmax, nf] = NMSMAX(FUN, x0, STOPIT, SAVIT) attempts to | |
86 ## maximize the function FUN, using the starting vector x0. | |
87 ## The Nelder-Mead direct search method is used. | |
88 ## Output arguments: | |
89 ## x = vector yielding largest function value found, | |
90 ## fmax = function value at x, | |
91 ## nf = number of function evaluations. | |
92 ## The iteration is terminated when either | |
93 ## - the relative size of the simplex is <= STOPIT(1) | |
94 ## (default 1e-3), | |
95 ## - STOPIT(2) function evaluations have been performed | |
96 ## (default inf, i.e., no limit), or | |
97 ## - a function value equals or exceeds STOPIT(3) | |
98 ## (default inf, i.e., no test on function values). | |
99 ## The form of the initial simplex is determined by STOPIT(4): | |
100 ## STOPIT(4) = 0: regular simplex (sides of equal length, the default) | |
101 ## STOPIT(4) = 1: right-angled simplex. | |
102 ## Progress of the iteration is not shown if STOPIT(5) = 0 (default 1). | |
103 ## STOPIT(6) indicates the direction (ie. minimization or | |
104 ## maximization.) Default is 1, maximization. | |
105 ## set STOPIT(6)=-1 for minimization | |
106 ## If a non-empty fourth parameter string SAVIT is present, then | |
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107 ## 'SAVE SAVIT x fmax nf' is executed after each inner iteration. |
14895 | 108 ## NB: x0 can be a matrix. In the output argument, in SAVIT saves, |
109 ## and in function calls, x has the same shape as x0. | |
110 ## NMSMAX(fun, x0, STOPIT, SAVIT, P1, P2,...) allows additional | |
111 ## arguments to be passed to fun, via feval(fun,x,P1,P2,...). | |
112 ## References: | |
113 ## N. J. Higham, Optimization by direct search in matrix computations, | |
114 ## SIAM J. Matrix Anal. Appl, 14(2): 317-333, 1993. | |
115 ## C. T. Kelley, Iterative Methods for Optimization, Society for Industrial | |
116 ## and Applied Mathematics, Philadelphia, PA, 1999. | |
117 | |
118 ## From Matrix Toolbox | |
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119 ## Copyright (C) 2002, 2013 N.J.Higham |
14895 | 120 ## www.maths.man.ac.uk/~higham/mctoolbox |
121 ## | |
122 ## Modifications for Octave by A.Adler 2003 | |
123 | |
124 function [stopit, savit, dirn, trace, tol, maxiter] = parse_options (options, x ); | |
125 | |
126 ## Tolerance for cgce test based on relative size of simplex. | |
127 stopit(1) = tol = optimget (options, "TolX", 1e-4); | |
128 | |
129 ## Max no. of f-evaluations. | |
130 stopit(2) = optimget (options, "MaxFunEvals", length (x) * 200); | |
131 | |
132 ## Max no. of iterations | |
133 maxiter = optimget (options, "MaxIter", length (x) * 200); | |
134 | |
135 ## Default target for f-values. | |
136 stopit(3) = Inf; # FIXME: expose this parameter to the outside | |
137 | |
138 ## Default initial simplex. | |
139 stopit(4) = 0; # FIXME: expose this parameter to the outside | |
140 | |
141 ## Default: show progress. | |
142 display = optimget (options, "Display", "notify"); | |
143 if (strcmp (display, "iter")) | |
144 stopit(5) = 1; | |
145 else | |
146 stopit(5) = 0; | |
147 endif | |
148 trace = stopit(5); | |
149 | |
150 ## Use function to minimize, not maximize | |
151 stopit(6) = dirn = -1; | |
152 | |
153 ## File name for snapshots. | |
154 savit = []; # FIXME: expose this parameter to the outside | |
155 | |
156 endfunction | |
157 | |
158 function [x, fmax, nf] = nmsmax (fun, x, options, savit, varargin) | |
159 | |
160 [stopit, savit, dirn, trace, tol, maxiter] = parse_options (options, x); | |
161 | |
162 if (strcmpi (optimget (options, "FunValCheck", "off"), "on")) | |
163 ## Replace fcn with a guarded version. | |
164 fun = @(x) guarded_eval (fun, x); | |
165 endif | |
166 | |
167 x0 = x(:); # Work with column vector internally. | |
168 n = length (x0); | |
169 | |
170 V = [zeros(n,1) eye(n)]; | |
171 f = zeros (n+1,1); | |
172 V(:,1) = x0; | |
173 f(1) = dirn * feval (fun,x,varargin{:}); | |
174 fmax_old = f(1); | |
175 | |
176 if (trace) | |
177 fprintf ("f(x0) = %9.4e\n", f(1)); | |
178 endif | |
179 | |
180 k = 0; m = 0; | |
181 | |
182 ## Set up initial simplex. | |
183 scale = max (norm (x0,Inf), 1); | |
184 if (stopit(4) == 0) | |
185 ## Regular simplex - all edges have same length. | |
186 ## Generated from construction given in reference [18, pp. 80-81] of [1]. | |
187 alpha = scale / (n*sqrt (2)) * [sqrt(n+1)-1+n, sqrt(n+1)-1]; | |
188 V(:,2:n+1) = (x0 + alpha(2)*ones (n,1)) * ones (1,n); | |
189 for j = 2:n+1 | |
190 V(j-1,j) = x0(j-1) + alpha(1); | |
191 x(:) = V(:,j); | |
192 f(j) = dirn * feval (fun,x,varargin{:}); | |
193 endfor | |
194 else | |
195 ## Right-angled simplex based on co-ordinate axes. | |
196 alpha = scale * ones(n+1,1); | |
197 for j=2:n+1 | |
198 V(:,j) = x0 + alpha(j)*V(:,j); | |
199 x(:) = V(:,j); | |
200 f(j) = dirn * feval (fun,x,varargin{:}); | |
201 endfor | |
202 endif | |
203 nf = n+1; | |
204 how = "initial "; | |
205 | |
206 [~,j] = sort (f); | |
207 j = j(n+1:-1:1); | |
208 f = f(j); | |
209 V = V(:,j); | |
210 | |
211 alpha = 1; beta = 1/2; gamma = 2; | |
212 | |
213 while (1) # Outer (and only) loop. | |
214 k++; | |
215 | |
216 if (k > maxiter) | |
217 msg = "Exceeded maximum iterations...quitting\n"; | |
218 break; | |
219 endif | |
220 | |
221 fmax = f(1); | |
222 if (fmax > fmax_old) | |
223 if (! isempty (savit)) | |
224 x(:) = V(:,1); | |
225 eval (["save " savit " x fmax nf"]); | |
226 endif | |
227 endif | |
228 if (trace) | |
229 fprintf ("Iter. %2.0f,", k); | |
230 fprintf ([" how = " how " "]); | |
231 fprintf ("nf = %3.0f, f = %9.4e (%2.1f%%)\n", nf, fmax, ... | |
232 100*(fmax-fmax_old)/(abs(fmax_old)+eps)); | |
233 endif | |
234 fmax_old = fmax; | |
235 | |
236 ## Three stopping tests from MDSMAX.M | |
237 | |
238 ## Stopping Test 1 - f reached target value? | |
239 if (fmax >= stopit(3)) | |
240 msg = "Exceeded target...quitting\n"; | |
241 break; | |
242 endif | |
243 | |
244 ## Stopping Test 2 - too many f-evals? | |
245 if (nf >= stopit(2)) | |
246 msg = "Max no. of function evaluations exceeded...quitting\n"; | |
247 break; | |
248 endif | |
249 | |
250 ## Stopping Test 3 - converged? This is test (4.3) in [1]. | |
251 v1 = V(:,1); | |
252 size_simplex = norm (V(:,2:n+1)-v1(:,ones (1,n)),1) / max (1, norm (v1,1)); | |
253 if (size_simplex <= tol) | |
254 msg = sprintf ("Simplex size %9.4e <= %9.4e...quitting\n", ... | |
255 size_simplex, tol); | |
256 break; | |
257 endif | |
258 | |
259 ## One step of the Nelder-Mead simplex algorithm | |
260 ## NJH: Altered function calls and changed CNT to NF. | |
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261 ## Changed each 'fr < f(1)' type test to '>' for maximization |
14895 | 262 ## and re-ordered function values after sort. |
263 | |
264 vbar = (sum (V(:,1:n)')/n)'; # Mean value | |
265 vr = (1 + alpha)*vbar - alpha*V(:,n+1); | |
266 x(:) = vr; | |
267 fr = dirn * feval (fun,x,varargin{:}); | |
268 nf = nf + 1; | |
269 vk = vr; fk = fr; how = "reflect, "; | |
270 if (fr > f(n)) | |
271 if (fr > f(1)) | |
272 ve = gamma*vr + (1-gamma)*vbar; | |
273 x(:) = ve; | |
274 fe = dirn * feval (fun,x,varargin{:}); | |
275 nf = nf + 1; | |
276 if (fe > f(1)) | |
277 vk = ve; | |
278 fk = fe; | |
279 how = "expand, "; | |
280 endif | |
281 endif | |
282 else | |
283 vt = V(:,n+1); | |
284 ft = f(n+1); | |
285 if (fr > ft) | |
286 vt = vr; | |
287 ft = fr; | |
288 endif | |
289 vc = beta*vt + (1-beta)*vbar; | |
290 x(:) = vc; | |
291 fc = dirn * feval (fun,x,varargin{:}); | |
292 nf = nf + 1; | |
293 if (fc > f(n)) | |
294 vk = vc; fk = fc; | |
295 how = "contract,"; | |
296 else | |
297 for j = 2:n | |
298 V(:,j) = (V(:,1) + V(:,j))/2; | |
299 x(:) = V(:,j); | |
300 f(j) = dirn * feval (fun,x,varargin{:}); | |
301 endfor | |
302 nf = nf + n-1; | |
303 vk = (V(:,1) + V(:,n+1))/2; | |
304 x(:) = vk; | |
305 fk = dirn * feval (fun,x,varargin{:}); | |
306 nf = nf + 1; | |
307 how = "shrink, "; | |
308 endif | |
309 endif | |
310 V(:,n+1) = vk; | |
311 f(n+1) = fk; | |
312 [~,j] = sort(f); | |
313 j = j(n+1:-1:1); | |
314 f = f(j); | |
315 V = V(:,j); | |
316 | |
317 endwhile # End of outer (and only) loop. | |
318 | |
319 ## Finished. | |
320 if (trace) | |
321 fprintf (msg); | |
322 endif | |
323 x(:) = V(:,1); | |
324 | |
325 endfunction | |
326 | |
327 ## A helper function that evaluates a function and checks for bad results. | |
328 function y = guarded_eval (fun, x) | |
329 | |
330 y = fun (x); | |
331 | |
332 if (! (isreal (f))) | |
333 error ("fminsearch:notreal", "fminsearch: non-real value encountered"); | |
334 elseif (any (isnan (f(:)))) | |
335 error ("fminsearch:isnan", "fminsearch: NaN value encountered"); | |
336 elseif (any (isinf (f(:)))) | |
337 error ("fminsearch:isinf", "fminsearch: Inf value encountered"); | |
338 endif | |
339 | |
340 endfunction | |
341 | |
342 | |
343 %!demo | |
344 %! fcn = @(x) (x(1)-5).^2 + (x(2)-8).^4 | |
345 %! x0 = [0;0]; | |
346 %! [xmin, fval] = fminsearch (fcn, x0) | |
347 | |
348 %!assert (fminsearch (@sin, 3, optimset ("MaxIter", 3)), 4.8750, 1e-4) | |
349 %!assert (fminsearch (@sin, 3, optimset ("MaxIter", 30)), 4.7124, 1e-4) | |
350 %!shared c | |
351 %! c = 1.5; | |
352 %!assert (fminsearch (@(x) x(1).^2+c*x(2).^2,[1;1]), [0;0], 1e-4) | |
353 |