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RE: Multi dimension minimization
- To: "Emmanuel Chomarat" <Emmanuel dot Chomarat at bigfoot dot com>, <gsl-discuss at sources dot redhat dot com>
- Subject: RE: Multi dimension minimization
- From: "J.J. Gomez Cadenas" <gomez at hal dot ific dot uv dot es>
- Date: Tue, 21 Aug 2001 08:29:03 +0200
Hi,
Multidimensional minimization whithout derivates = Simplex algorithm. In
fact I use the simplex often even if I know the derivatives of the function.
It's a very simple algorithm. You can find the code in NR. I have my own
implementatin in C++ in case you want it.
As a matter of fact if it is not included in the GSL I would volunteer to
contribute with the code (I can write easily a C version)
jj
-----Mensaje original-----
De: gsl-discuss-owner@sources.redhat.com
[mailto:gsl-discuss-owner@sources.redhat.com]En nombre de Emmanuel
Chomarat
Enviado el: martes, 21 de agosto de 2001 0:18
Para: gsl-discuss@sources.redhat.com
Asunto: Multi dimension minimization
Hello,
I try to make an app that find the max of the (log)likelihood of data
that
( a sum of 75000terms = 5parameters*15000datas). I
can't(don't) want to use the derivates, how can i do? Does anyone
have
something to do it in a box? Does anyone heard about something in
other
numerical lib( numerical recipes have but i'm not sure to be able to use
it,
if someone have an sample).
Thx for your help.
Furthermore, i wrote some mails about how to compile on win32 under
borland
env. I think i succeeded ( i will write a little mail with the procedure)
and
i have to test the libs, does anyone have a prog that make a lot of
usage of
GSL funcs.
--
Emmanuel mail:Emmanuel.Chomarat@bigfoot.com