The parameter space in this current problem is only two dimensional, so I can eyeball a plausible region, sample at a higher rate there, and iterate by hand. In another project, I had something with an very high dimensional parameter space, so I figured it’s time I learn more about these techniques.
Any resources you can recommend on this topic then? Is there a list of common shortcuts anywhere?
The parameter space in this current problem is only two dimensional, so I can eyeball a plausible region, sample at a higher rate there, and iterate by hand. In another project, I had something with an very high dimensional parameter space, so I figured it’s time I learn more about these techniques.
Any resources you can recommend on this topic then? Is there a list of common shortcuts anywhere?
Well, optimization (aka search in parameter space) is a large and popular topic. There are a LOT of papers and books about it.
And sorry, I don’t know of a list of common shortcuts. As I mentioned they really depend on the specifics of the problem.