Can someone please tell me how to correct the following code.
x = [yt,r]; a = eye(2); b = zeros(2,1);
opts = optimset('lsqlin'); opts.LargeScale = 'off'; opts.Display = 'none'; coef = lsqlin(x,yt2,-a,-b);
My x is a 1000*2 matrix. so i get an error. I read the help for that but couldn't understand it clearly.
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I don't think there is anything wrong with this code, except LSQNONNEG would be easier.
coef = lsqlin(x,yt2,-a,-b);
is the same as
coef = lsqnonneg(x,yt2);
When I run your core, I don't get any errors at all. I just get
Which I have no reason to doubt is a valid answer.
Are you perhaps referring to the warning that comes up regarding the solver?
If you have 1000 unknowns why is "a" only 2x2?
Also, since your constraints are only lower bounds on the unknowns, use the lb input argument instead of A,b
Also, since you only have positivity constraints, consider using LSQNONNEG instead of LSQLIN.