function [g, badg] = numgrad5_(fcn,f0,x,penalty,epsilon,varargin) % Computes the gradient of the objective function fcn using a five points % formula if possible. % % Adapted from Sims' numgrad.m routine. % % See section 25.3.6 Abramovitz and Stegun (1972, Tenth Printing, December) Handbook of Mathematical Functions. % http://www.math.sfu.ca/~cbm/aands/ % % TODO Try Four points formula when cost_flag3=0 or cost_flag4=0. % Original file downloaded from: % http://sims.princeton.edu/yftp/optimize/mfiles/numgrad.m % Copyright © 1993-2007 Christopher Sims % Copyright © 2008-2016 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 . rescale_step_length = 0; delta = epsilon; n = length(x); g = zeros(n,1); badg = 0; if rescale_step_length scale = []; else scale = ones(n,1); end for i=1:n xiold = x(i); h = step_length_correction(xiold,scale,i)*delta; x(i) = xiold+h; [f1,~,cost_flag1,] = penalty_objective_function(x, fcn, penalty, varargin{:}); x(i) = xiold-h; [f2,~,cost_flag2] = penalty_objective_function(x, fcn, penalty, varargin{:}); x(i) = xiold+2*h; [f3,~,cost_flag3] = penalty_objective_function(x, fcn, penalty, varargin{:}); x(i) = xiold-2*h; [f4,~,cost_flag4] = penalty_objective_function(x, fcn, penalty, varargin{:}); if f0