why patternsearch result is dependent to the initial values?
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Hi I have a time dependent measured data set and want to fit a 4 parameter nonlinear model to it. I have used patternsearch to minimize sum square differences between the model values and original data. The optimization process ends in exitflag 3 and the resulted parameters are dependent to the initial values, i.e. when i double the initial values, two parameters change largely and the other two parameters not. I have replaced the resulted parameters in the model and plotted model results together with original data. There is an excellent fit but i do not know how to resolve dependency to the original values.
thanks a lot
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Alan Weiss
on 18 Nov 2014
If patternsearch is giving you a good fit with widely different solutions, then your problem might have multiple solutions, and patternsearch finds one that is nearby to its starting point.
Alan Weiss
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