jacdif.m
来自「基于matlab的约束非线性规划算法库」· M 代码 · 共 18 行
M
18 行
function JAC = jacdif(userfun,x,params)
%Call: JAC = jacdif('userfun',x,params)
%Use forward differences to compute the Jacobian
%of a user defined vector function 'userfun' that
%is invoked by [f Dummy]=userfun(x,0)
%This version is very simple in that it uses the same
%tolerance sqrt(eps) as the difference.
%
d=sqrt(eps);
n=max(size(x));
[f Dummy]=feval(userfun,x,0,params{:});
for j=1:n
temp=x(j);
x(j)=temp+d;
[fd Dummy]=feval(userfun,x,0,params{:});
JAC(:,j)=(fd-f)/d;
x(j)=temp;
end
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