I am using fminsearch to minimize an error score in fitting a model to many, many data sets.
Often, the error score gets close enough to zero for my purposes, and at that point I'd like fminsearch to stop and go on to the next data set.
Unfortunately, I can't find choices for TolX and TolFun (nor maximum function evaluations, etc) that will reliably stop if and only if the total error score is low enough.
So, my question is whether there is some other way to get fminsearch to stop when my objective function detects that a low enough overall error has been achieved?
Thanks for any suggestions.