A Potentially Better Optimizer

[emptymalei]

I went to PyData Cologne and a speaker talked about his projected called optimagic. There they have a unified optimization interface:

https://optimagic.readthedocs.io/en/latest/tutorials/optimization_overview.html

I am thinking we might be able to test this in numerical optimization functions. For example, here:

hamilflow/hamilflow/models/kepler_problem/numerics.py

Line 4 in 03abcd1

from scipy.optimize import OptimizeResult, newton, toms748

[cmp0xff]

Hi, thanks for sharing the knowledge. However I am not sure this has to do with our use case. We are solving equations, not minimising a function.