📄 hessian.m
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function H = hessian(f,x,varargin)% PURPOSE: Computes finite difference Hessian% -------------------------------------------------------% Usage: H = hessian(func,x,varargin)% Where: func = function name, fval = func(x,varargin)% x = vector of parameters (n x 1)% varargin = optional arguments passed to the function% -------------------------------------------------------% RETURNS:% H = finite differnce hessian% -------------------------------------------------------% Code from:% COMPECON toolbox [www4.ncsu.edu/~pfackler]% documentation modified to fit the format of the Ecoometrics Toolbox% by James P. LeSage, Dept of Economics% University of Toledo% 2801 W. Bancroft St,% Toledo, OH 43606% jlesage@spatial-econometrics.comeps = 1e-5;n = size(x,1);fx = feval(f,x,varargin{:}); % Compute the stepsize (h)h = eps.^(1/3)*max(abs(x),1e-2);xh = x+h;h = xh-x; ee = sparse(1:n,1:n,h,n,n); % Compute forward step g = zeros(n,1);for i=1:n g(i) = feval(f,x+ee(:,i),varargin{:});end H=h*h';% Compute "double" forward step for i=1:nfor j=i:n H(i,j) = (feval(f,x+ee(:,i)+ee(:,j),varargin{:})-g(i)-g(j)+fx)/H(i,j); H(j,i) = H(i,j);endend
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