List all Sherpa optimization methods.
Sherpa includes several different optimization methods that can be used to fit models to data. This function lists all available methods, by name; it accepts no arguments.
The primary task of Sherpa is to fit a model M(p) to a set of observed data, where the vector p denotes the model parameters. An optimization method is one that is used to determine the vector of model parameter values, p0, for which the chosen fit statistic is minimized.
['levmar', 'moncar', 'simplex', 'neldermead']
The list_methods() function lists the names of all fit optimization methods available in Sherpa:
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.