I have been using GSL, but I find it very awkward to work with. Does anyone have a recommendation for another one to try? I can't seem to find any on google.
I just have a cost function that I would like to minimize ( < 10 variables). It does not have an analytic derivative, but I can provide a numerical one.
I really can't believe there is not something good for this in c++ out there...? but i've been searching for several months and come up empty!
You could try a Genetic algorithm - some of them have the ability to do multi dimenisional minimization - either that or a simplex algorithm (this might be better). But you still need to have an objective function that returns a single value typically....
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