02-15-2013 06:36 PM
Hello all,
I am interested in using the Downhill Simplex VI where the function to be optimzed is itself a VI where two arrays of different input data are fed in and a miss fit statistic is sent out to optimize the fit of modeled data to observed data. I plan to use the Unconstrained Optimization polymorphic VI set to downhill simplex with the "objective function is a VI" case selected. I have also found the function template VI that is recommended in the help section to use with the Unconstrained Optimization VI.
Does anyone have an example of a functioning VI that implements this because I am having a hard time with the explanation provided by the help materials. My questions surround how the new values for the variables to be optimized by the downhill simplex search are piped to the function I would like to implement to crunch the numbers embeded in the function template.
Any suggestions or examples would be appreciated!!
I have Labview 2009... thanks for your help and saving things in a version I can open!!
Ryan McKeon
02-18-2013 10:23 AM
Hi mckeon406,
I realized you mentioned that you looked at help section, I also found an example that might be helpful. Take a look at it in the following link:
https://decibel.ni.com/content/docs/DOC-4310.
02-19-2013 06:08 PM
Edna-S,
Thanks for the reply to my very open ended question... but the link is broken, I only get a "Community Error" when I try to access it.
Ryan
02-19-2013 06:44 PM
Delete the trailing period from the link to get a working URL.
02-19-2013 06:53 PM
nathand,
It has been one of those days... Thanks for the help!
Ryan