📄 gradnt.m
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function g = gradnt(funfcn,theta,deltagrad,varargin) % PURPOSE: compute the gradient of func at b% ------------------------------------------------% USAGE: grd = gradnt(func,b,delta,varargin)% Where: func = function, as a string argument% b = (kx1) parameter vector at which to evaluate% delta = perturbation to use% varargin = arguments list passed to func% ------------------------------------------------% RETURNS: grd = 1xk vector with the gradient% ------------------------------------------------% written by:% James P. LeSage, Dept of Economics% University of Toledo% 2801 W. Bancroft St,% Toledo, OH 43606% jpl@jpl.econ.utoledo.edufunfcn = fcnchk(funfcn,length(varargin));[m k] = size(theta) ;if m ==1; theta = theta'; end;m=rows(theta); ii = eye(m);fbase = feval(funfcn,theta,varargin{:});for i = 1:m ;theta2 = theta + deltagrad * ii(:,i);g(:,i) = (feval(funfcn,theta2,varargin{:}) - fbase) / deltagrad ;end ;
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