Paul Knysh

Hi, sorry, I somehow missed this PR earlier. I also just did major code refactoring - feel free to re-open this to be in sync with updated master brach.

Hi, What do you mean by "includes max and min and some conversions"? Also, does it happen only for this specific function? Have you tried with other functions?

I recommend to simplify the function as much as you can, make sure that method works well for it, and then start adding complexity step by step and see at...

I just looked again at your error log, it looks like error occurs at line 212 (solving linear system for RBF fit). That is a built-in numpy solver, so I...

As for n and m, there are no specific rules. n regulates initial function evaluations (global search), m - subsequent evaluations (local search). Typically, choosing n = m works reasonably...

Added np.linalg.lstsq as a backup solver. Feel free to test.

Pretty sure it runs well in both Python 2 and 3. What error do you get?

Well, not sure if many people use WinPython..

The method/code was originally designed assuming that parametric space is continuous. Therefore, yes, for monotonic integers within a given range you can do rounding trick - I did that myself...

This is an interesting question. Unfortunately at the moment code relies heavily on the concept of parallel map, which means all evaluations within a batch have to start simultaneously (and...