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nonlinear least squares function

3 vues (au cours des 30 derniers jours)
Khalid
Khalid le 24 Avr 2015
Commenté : Khalid le 30 Avr 2015
Hi dears
I would like to ask for more information about nonlinear least squares, i was using it as follow
mas=[s y x z] [x,resnorm,residual,exitflag,output,lambda,j]=lsqnonlin('myfun',mas); s=x(1); y=x(2); x=x(3); z=x(4);
my function was as follow: function [f]=myfun(x) load data.txt i1=data(1:1250,2); v=data(1:1250,1); g=(i1./v); f=((g.*(v.*i1))./((x(1)*x(2)).*g.^(x(3)+x(4))))-(g./(x(1).*g.^x(4))); end
It was giving me this message objective function is returning undefined values at initial point. lsqnonlin cannot continue.
Thanks for your attention and time

Réponse acceptée

Brendan Hamm
Brendan Hamm le 24 Avr 2015
Modifié(e) : Brendan Hamm le 24 Avr 2015
If you call your objective function with the variable mas are there any NaNs or Infs in it?
any(isnan(myfun(mas))) || any(isinf(myfun(mas)))
If the answer is a logical 1 (as I suspect), then you have a non-feasible starting point. Try readjusting your initial guess. MATLAB does not know how to adjust your input vector in this case. This is likely due to a division by 0 returning an Inf, but could be a 0/0 case returning a NaN.
  1 commentaire
Khalid
Khalid le 30 Avr 2015
Thank you very much that was the case but I was looking for a code which can update my new parameters automatically by giving it the initial number.

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