Minimizing a function
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Hi,
I would like to minimize w'Hw, with respect to w, where w is a vector, and H is matrix.
And with the following constraint, (|w1|+|w2|+|w3| < 3), ie. the l1 norm of the weights vector is less that 3.
How can I do this in matlab?
Thanks
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Cédric Devivier
am 6 Sep. 2011
Hi,
Maybe the fminsearch function is enough ?
Something like that should work. Copy these two routines in a single m file.
function [w_min value] = minimize(w0,H)
[w_min value] = fminsearch(@(w) funtomini(w,H,w0) , w0);
end
function value = funtomini(w,H,w0)
if sum(abs(w))<3;
value = w'*H*w;
else
value = w0'*H*w0;
end
end
Find the minimum using this command
[w_min value] = minimize(w0,H);
Cheers,
Cédric
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Teja Muppirala
am 7 Sep. 2011
This is a quadratic programming problem, and can be solved very easily using QUADPROG. The only thing is correctly expressing the L1 constraint.
% Make some random H
H = rand(3,3);
H =H+H';
% Express the L1 constraint using matrices:
[X1,X2,X3] = ndgrid([-1 1]);
A = [X1(:) X2(:) X3(:)];
b = 3*ones(size(A,1),1);
% solve for x
x = quadprog(H,[],A,b)
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