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Re: monte carlo analysis
- Subject: Re: monte carlo analysis
- From: thompson(at)orpheus.nascom.nasa.gov (William Thompson)
- Date: 18 Dec 1999 00:05:23 GMT
- Newsgroups: comp.lang.idl-pvwave
- Organization: NASA Goddard Space Flight Center -- Greenbelt, Maryland USA
- References: <83dsd2$1k8$1@nnrp1.deja.com>
- Xref: news.doit.wisc.edu comp.lang.idl-pvwave:17785
charliesolomon@my-deja.com writes:
>Hello ng,
>Does anyone have experience with monte carlo analysis in IDL? I'm just
>starting to research it and would appreciate any insights or pointers
>in the right direction. The purpose would be to take an existing
>scientific model and run gads of iterations, using different
>distributions for the input variables to get statistical results.
>Thanks,
>Charlie Solomon
>csolomon@usc.edu
The trick with Monte Carlo analysis is to generate a properly randomized set of
test particles with the correct characteristics. There was some discussion a
while back about the properties of the random number generators in IDL. You
might check out www.dejanews.com, for example
http://x45.deja.com/[ST_rn=if]/getdoc.xp?AN=509839686&CONTEXT=945475070.1365508166&hitnum=12
Other than that, Monte Carlo is a fairly straightforward process. IDL may not
be the best language to implement it in, though, because of all the looping
you'll probably need to do.
William Thompson