function [g, badg, f0, f1, f2] = numgrad3(fcn,x,varargin) % Computes the gradient of the objective function fcn using a three points % formula if possible. % % Adapted from Sims' numgrad routine. % % See section 25.3.4 in Abramovitz and Stegun (1972, Tenth Printing, December) Handbook of Mathematical Functions. % http://www.math.sfu.ca/~cbm/aands/ % Original file downloaded from: % http://sims.princeton.edu/yftp/optimize/mfiles/numgrad.m % Copyright (C) 1993-2007 Christopher Sims % Copyright (C) 2008 Dynare Team % % This file is part of Dynare. % % Dynare 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. % % Dynare 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 Dynare. If not, see . f0 = NaN; f1 = NaN; f2 = NaN; delta = 1e-6; n=length(x); tvec=delta*eye(n); g=zeros(n,1); [f0,cost_flag] = feval(fcn, x, varargin{:}); badg=0; goog=1; scale=1; for i=1:n if size(x,1)>size(x,2) tvecv=tvec(i,:); else tvecv=tvec(:,i); end [f1,cost_flag1] = feval(fcn, x+scale*transpose(tvecv), varargin{:}); [f2,cost_flag2] = feval(fcn, x-scale*transpose(tvecv), varargin{:}); if cost_flag1 && cost_flag2 g0 = (f1 - f2) / (2*scale*delta); else if cost_flag1 g0 = (f1-f0) / (scale*delta); elseif cost_flag2 g0 = (f0-f2) / (scale*delta); else goog=0; end end if goog && abs(g0)< 1e15 g(i)=g0; else disp('bad gradient ------------------------') g(i)=0; badg=1; end end