From: Borries Demeler <demeler@bioc09.v19.uthscsa.edu>
  To  : bio2 <bio2@library.usyd.edu.au>
  Date: Wed, 4 Oct 2000 12:33:26 -0500 (CDT)

Re: your mail

> Hi,
>     My name is Daniel Ryan. I  am a 3rd year bioinformatics student. I =
> am currently writing a software package that invovles analystical =
> ultracentrifugation data analysis as an assignment.  I was wondering if =
> anyone could direct me to information regarding non-linear analysis =
> invovled with AU data, and algorithms that cater for multiple data sets.
> 
> Thank You
> Daniel Ryan

Dear Daniel,

take a look at the Levenberg-Marquardt and other nonlinear least squares
fitting algorithms of the Gauss-Newton flavor.  Chances are they work
for what you want to do (although you never said what kind of data you
actually want to fit, and what model is involved).

Other methods include Simplex, Newton-Raphson, DuD, and quasi-Newton
methods.  Which one works best often depends on the special
circumstances of the problem. There is a great decision tree
for optimization methods with links to existing sources in both
fortran and C/C++ at http://plato.la.asu.edu/guide.html and at
http://www-fp.mcs.anl.gov/otc/Guide/SoftwareGuide/index.html.

Regards, -Borries
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* Borries Demeler, Ph.D.                                                      *
* The University of Texas Health Science Center at San Antonio                *
* Dept. of Biochemistry, 7703 Floyd Curl Drive, San Antonio, Texas 78284-7760 *
* Voice: 210-567-6592, Fax: 210-567-4575, Email: demeler@biochem.uthscsa.edu  *
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