X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fm%2Foptimization%2Ffminbnd.m;fp=octave_packages%2Fm%2Foptimization%2Ffminbnd.m;h=36294f633362c70f47b01414efc0365da9528888;hp=0000000000000000000000000000000000000000;hb=1c0469ada9531828709108a4882a751d2816994a;hpb=63de9f36673d49121015e3695f2c336ea92bc278 diff --git a/octave_packages/m/optimization/fminbnd.m b/octave_packages/m/optimization/fminbnd.m new file mode 100644 index 0000000..36294f6 --- /dev/null +++ b/octave_packages/m/optimization/fminbnd.m @@ -0,0 +1,213 @@ +## Copyright (C) 2008-2012 VZLU Prague, a.s. +## +## This file is part of Octave. +## +## Octave is free software; you can redistribute it and/or modify it +## under the terms of the GNU General Public License as published by +## the Free Software Foundation; either version 3 of the License, or (at +## your option) any later version. +## +## Octave is distributed in the hope that it will be useful, but +## WITHOUT ANY WARRANTY; without even the implied warranty of +## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +## General Public License for more details. +## +## You should have received a copy of the GNU General Public License +## along with Octave; see the file COPYING. If not, see +## . +## +## Author: Jaroslav Hajek + +## -*- texinfo -*- +## @deftypefn {Function File} {[@var{x}, @var{fval}, @var{info}, @var{output}] =} fminbnd (@var{fun}, @var{a}, @var{b}, @var{options}) +## Find a minimum point of a univariate function. @var{fun} should be a +## function +## handle or name. @var{a}, @var{b} specify a starting interval. @var{options} +## is a +## structure specifying additional options. Currently, @code{fminbnd} +## recognizes these options: @code{"FunValCheck"}, @code{"OutputFcn"}, +## @code{"TolX"}, @code{"MaxIter"}, @code{"MaxFunEvals"}. +## For description of these options, see @ref{doc-optimset,,optimset}. +## +## On exit, the function returns @var{x}, the approximate minimum point +## and @var{fval}, the function value thereof. +## @var{info} is an exit flag that can have these values: +## +## @itemize +## @item 1 +## The algorithm converged to a solution. +## +## @item 0 +## Maximum number of iterations or function evaluations has been exhausted. +## +## @item -1 +## The algorithm has been terminated from user output function. +## @end itemize +## @seealso{optimset, fzero, fminunc} +## @end deftypefn + +## This is patterned after opt/fmin.f from Netlib, which in turn is taken from +## Richard Brent: Algorithms For Minimization Without Derivatives, Prentice-Hall (1973) + +## PKG_ADD: ## Discard result to avoid polluting workspace with ans at startup. +## PKG_ADD: [~] = __all_opts__ ("fminbnd"); + +function [x, fval, info, output] = fminbnd (fun, xmin, xmax, options = struct ()) + + ## Get default options if requested. + if (nargin == 1 && ischar (fun) && strcmp (fun, 'defaults')) + x = optimset ("MaxIter", Inf, "MaxFunEvals", Inf, "TolX", 1e-8, \ + "OutputFcn", [], "FunValCheck", "off"); + return; + endif + + if (nargin < 2 || nargin > 4) + print_usage (); + endif + + if (ischar (fun)) + fun = str2func (fun, "global"); + endif + + ## TODO + ## displev = optimget (options, "Display", "notify"); + funvalchk = strcmpi (optimget (options, "FunValCheck", "off"), "on"); + outfcn = optimget (options, "OutputFcn"); + tolx = optimget (options, "TolX", 1e-8); + maxiter = optimget (options, "MaxIter", Inf); + maxfev = optimget (options, "MaxFunEvals", Inf); + + if (funvalchk) + ## Replace fun with a guarded version. + fun = @(x) guarded_eval (fun, x); + endif + + ## The default exit flag if exceeded number of iterations. + info = 0; + niter = 0; + nfev = 0; + sqrteps = eps (class (xmin + xmax)); + + c = 0.5*(3-sqrt(5)); + a = xmin; b = xmax; + v = a + c*(b-a); + w = x = v; + e = 0; + fv = fw = fval = fun (x); + nfev++; + + while (niter < maxiter && nfev < maxfev) + xm = 0.5*(a+b); + ## FIXME: the golden section search can actually get closer than sqrt(eps)... + ## sometimes. Sometimes not, it depends on the function. This is the strategy + ## from the Netlib code. Something yet smarter would be good. + tol = 2 * sqrteps * abs (x) + tolx / 3; + if (abs (x - xm) <= (2*tol - 0.5*(b-a))) + info = 1; + break; + endif + + if (abs (e) > tol) + dogs = false; + ## Try inverse parabolic step. + r = (x - w)*(fval - fv); + q = (x - v)*(fval - fw); + p = (x - v)*q - (x - w)*r; + q = 2*(q - r); + p *= -sign (q); + q = abs (q); + r = e; + e = d; + + if (abs (p) < abs (0.5*q*r) && p > q*(a-x) && p < q*(b-x)) + ## The parabolic step is acceptable. + d = p / q; + u = x + d; + + ## f must not be evaluated too close to ax or bx. + if (min (u-a, b-u) < 2*tol) + d = tol * (sign (xm - x) + (xm == x)); + endif + else + dogs = true; + endif + else + dogs = true; + endif + if (dogs) + ## Default to golden section step. + e = ifelse (x >= xm, a - x, b - x); + d = c * e; + endif + + ## f must not be evaluated too close to x. + u = x + max (abs (d), tol) * (sign (d) + (d == 0)); + + fu = fun (u); + nfev++; + niter++; + + ## update a, b, v, w, and x + + if (fu <= fval) + if (u < x) + b = x; + else + a = x; + endif + v = w; fv = fw; + w = x; fw = fval; + x = u; fval = fu; + else + ## The following if-statement was originally executed even if fu == fval. + if (u < x) + a = u; + else + b = u; + endif + if (fu <= fw || w == x) + v = w; fv = fw; + w = u; fw = fu; + elseif (fu <= fv || v == x || v == w) + v = u; + fv = fu; + endif + endif + + ## If there's an output function, use it now. + if (outfcn) + optv.funccount = nfev; + optv.fval = fval; + optv.iteration = niter; + if (outfcn (x, optv, "iter")) + info = -1; + break; + endif + endif + endwhile + + output.iterations = niter; + output.funcCount = nfev; + output.bracket = [a, b]; + ## FIXME: bracketf possibly unavailable. + +endfunction + +## An assistant function that evaluates a function handle and checks for +## bad results. +function fx = guarded_eval (fun, x) + fx = fun (x); + fx = fx(1); + if (! isreal (fx)) + error ("fminbnd:notreal", "fminbnd: non-real value encountered"); + elseif (isnan (fx)) + error ("fminbnd:isnan", "fminbnd: NaN value encountered"); + endif +endfunction + +%!shared opt0 +%! opt0 = optimset ("tolx", 0); +%!assert (fminbnd (@cos, pi/2, 3*pi/2, opt0), pi, 10*sqrt(eps)) +%!assert (fminbnd (@(x) (x - 1e-3)^4, -1, 1, opt0), 1e-3, 10e-3*sqrt(eps)) +%!assert (fminbnd (@(x) abs(x-1e7), 0, 1e10, opt0), 1e7, 10e7*sqrt(eps)) +%!assert (fminbnd (@(x) x^2 + sin(2*pi*x), 0.4, 1, opt0), fzero (@(x) 2*x + 2*pi*cos(2*pi*x), [0.4, 1], opt0), sqrt(eps))