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[MUG] optimisation -- Levenburgh-Marquardt
| [MUG] optimisation -- Levenburgh-Marquardt |
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Author: Susan Neininger
Posted: 24/02/2000 12:07:28 GMT
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>> From: "Susan Neininger"
I am trying to model some experimental data by using a system of
6 differential equations containing up to 18 unknown parameters. I
would like to be able to fit the predicted data to the experimental
data by minimising the sum of squared residuals, and adjusting the
parameters. Maple does not have a non-linear curve-fitting
algorithm such as the Levenburgh-Marquardt algorithm. Has
anyone out there achieved this in Maple?
Thank you.
Susan Neininger
Susan Neininger
Faculty of Technology
Bolton Institute
Deane Road
Bolton, BL3 5AB
U.K.
E-mail :
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| [MUG] Re: optimisation -- Levenburg-Marquardt |
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Author: Norbert Roth
Posted: 02/03/2000 22:27:07 GMT
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>> From: Norbert Roth
Hello Susan,
on 24-Feb-00 you wrote :
...snipp [Levenburg-Marquardt optimization in MapleV?]
There is an implementation of this method which you may find
on the CD-ROM that comes along with the following book
(sorry, it's written in German):
M. Horhager, Maple in Technik und Wissenschaft,
Addison-Wesley-Verlag, Bonn, 1996
As an additional info, there exists a C++ library
offering several optimization algorithms including
'Levenburg-Marquardt' - have a look at
http://www.techxhome.com/products/optsolve/
It's a commercial product.
Here are the e-mail addresses of some Muggers which also
had to deal with this algorithm:
Jean-Pierre Nadai
Volker Claus Falk
Bruce Hartley
Maybe they can give you further hints.
Hope this helps a bit.
Regards
NR
--
Remark of the day :
A puritan is someone
who is really afraid that someone somewhere is having fun.
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