51 lines
1.4 KiB
Matlab
51 lines
1.4 KiB
Matlab
% Copyright (C) 2001 Michel Juillard
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%% computes second order partial derivatives
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% uses Abramowitz and Stegun (1965) formulas 25.3.24 and 25.3.27 p. 884
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function hessian_mat = hessian(func,x,varargin)
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global options_
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func = str2func(func);
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n=size(x,1);
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%h1=max(abs(x),options_.gstep*ones(n,1))*eps^(1/3);
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h1=max(abs(x),sqrt(options_.gstep)*ones(n,1))*eps^(1/6);
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h_1=h1;
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xh1=x+h1;
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h1=xh1-x;
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xh1=x-h_1;
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h_1=x-xh1;
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xh1=x;
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f0=feval(func,x,varargin{:});
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f1=zeros(size(f0,1),n);
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f_1=f1;
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for i=1:n
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xh1(i)=x(i)+h1(i);
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f1(:,i)=feval(func,xh1,varargin{:});
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xh1(i)=x(i)-h_1(i);
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f_1(:,i)=feval(func,xh1,varargin{:});
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xh1(i)=x(i);
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i=i+1;
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end
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xh_1=xh1;
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hessian_mat = zeros(size(f0,1),n*n);
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for i=1:n
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if i > 1
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k=[i:n:n*(i-1)];
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hessian_mat(:,(i-1)*n+1:(i-1)*n+i-1)=hessian_mat(:,k);
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end
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hessian_mat(:,(i-1)*n+i)=(f1(:,i)+f_1(:,i)-2*f0)./(h1(i)*h_1(i));
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temp=f1+f_1-f0*ones(1,n);
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for j=i+1:n
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xh1(i)=x(i)+h1(i);
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xh1(j)=x(j)+h_1(j);
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xh_1(i)=x(i)-h1(i);
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xh_1(j)=x(j)-h_1(j);
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hessian_mat(:,(i-1)*n+j)=-(-feval(func,xh1,varargin{:})-feval(func,xh_1,varargin{:})+temp(:,i)+temp(:,j))./(2*h1(i)*h_1(j));
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xh1(i)=x(i);
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xh1(j)=x(j);
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xh_1(i)=x(i);
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xh_1(j)=x(j);
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j=j+1;
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end
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i=i+1;
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end
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% 11/25/03 SA Created from Hessian_sparse (removed sparse) |