Paul Knysh

The total number of evaluations depends on the dimensionality of your problem. I remember using the code for a 4D case, the total number of evaluations was on the order...

Thanks, that might be a good idea!

Hi, From what I understood, what fails is your simulation (= objective function), not the optimization procedure itself. If that's the case and you want to identify parameters for which...

So, the important question is what happens when your simulation fails. If you can control that failure inside of your objective function (say, simulation returns some kind of error code...

As for what you propose (saving a current set of parameters into a global list), that's a good idea, but I'm not sure how this will interfere with parallelism that...

You can try your idea (with the global list). If the parallelism is not very crucial, you can set `batch=1` when you call the optimization procedure, which means only one...

The code doesn't support constraints.

Hi, sorry, I don't have a good answer here actually, never ran into such scenario. Under the hood, scipy minimizes RBF fit, not the function itself, not sure if it's...

Thanks! I'm actually getting different answers with new and old RBF. Any idea why? ```python points = np.array([[0., 0., 1.], [0., 1., 1.], [1., 0., 1.], [1., 1., 1.], [0.5,...

Hi, what do you mean by "typing it"?