function [g, badg, f0, f1, f2] = numgrad3_(fcn,f0,x,epsilon,scale,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) 2008-2012 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 . f1 = NaN; f2 = NaN; delta = epsilon; n = length(x); g = zeros(n,1); badg=0; goog=1; zgrad = 1; for i=1:n xiold = x(i); h = step_length_correction(xiold,scale,i)*delta; x(i) = xiold + h; [f1,junk1,junk2,cost_flag1] = feval(fcn, x, varargin{:}); x(i) = xiold - h; [f2,junk1,junk2,cost_flag2] = feval(fcn, x, varargin{:}); if cost_flag1 && cost_flag2 g0 = (f1 - f2) / (2*h); if zgrad && f1>f0 && f2>f0 % Note that this condition is consistent with a minimization problem! g0 = 0; end else if cost_flag1 g0 = (f1-f0)/h; elseif cost_flag2 g0 = (f0-f2)/h; else goog=0; end end if goog && abs(g0)< 1e15 g(i)=g0; else disp('bad gradient ------------------------') g(i)=0; badg=1; end x(i) = xiold; end