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How to constrain parameters in Lev-Mar?

It's a common case for non-linear fitting.
How can it be done in LabView's Lev-Mar?

Thanks.
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Message 1 of 4
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Check out the shipping examples with LabVIEW. Go to "Find Examples" from the splash screen. Open the "analysis" folder, and then the "regressn.llb". You will find an example of the Lev-Mar. Also, click on the "search" tab and type "nonlinear" you find more examples.

http://digital.ni.com/public.nsf/websearch/BACF6FDF1B40993686256CC300657BA4?OpenDocument
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I know how to make Lev-Mar, but
how to constrain the paramters?
For example: a>0, 0<=1, etc...
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The provided LabVIEW implementation does not contain options for parameter bounds.

One solution would be to re-parametrize your code in terms of unconstrained variables that cause a constraint on your original parameters.

Some transformations for one-sided or two-sided parameter bounds are given here:

http://www.id.unizh.ch/software/unix/statmath/sas/sasdoc/stat/chap19/sect41.htm

The link also lists references with more details.
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