Re: [Help-gsl] subscribe

[Max Belushkin]

    I'm not sure I understand what you're trying to do 100%, but, 
generally, for any regression, you choose a function to minimize - i.e. 
chi squared. That takes some parameters over which you're minimizing, 
and, if one is lucky, is continuous in those parameters - then you need 
to take the derivatives in parameters, the actual function you're 
"fitting" doesn't matter, since chi squared is a sum over the whole 
range(s) of the squares of the function values minus the data bin (i.e. 
experimental data). Well, I lost the experimental errors in there.

  So, how are you composing your function to be minimized? Is it 
somehow  discretized in terms of the parameters?

  I think a bit more information on how you're trying to get to the end 
result would be helpful.

address@hidden wrote:
> Hello,
> I was looking for a non-linear fitting algorithm, and the manual only
> covers Algorithms with Derivatives, but unfortunatly this does not apply
> for code as I have a histogram convolved with a Gaussian as my fitting
> function. Is there any Algorithm without Derivatives that I may use in
> GSL, and if not what other software that maight be helpful, knowing that I
> only program in C. Thank you in advance for your response.
> Sincerely,
> Hassan
> ----------------------------------------------
> Hassan Saadaoui,
> PhD candidate,
> TRIUMF
> 4004 Wesbrook Mall
> Vancouver, B.C.
> Canada V6T 2A3
> 1-604-222-1047, ext. 6194
> ----------------------------------------------
>
>
>
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