Outputs of the METOD Algorithm

List of available results

As discussed in Example 1 and Example 2, outputs can be saved to csv files.

The table below contains details of the outputs from the METOD Algorithm.

Outputs of metod.py

Ouput	Type	Description
unique_minimizers	list	Each unique minimizer found.
unique_number_of_minimizers	integer	Total number of unique minimizers found.
func_vals_of_minimizers	list	Function evaluated at each unique minimizer.
excessive_descents	integer	Total number of repeated local descents to the same local minimizer.
starting_points	list	Starting points used by the METOD Algorithm.
no_grad_evals	1-D array	Total number of gradient evaluations computed by the METOD algorithm for each starting point. If local descent is terminated early for a point, the total number of gradient evaluations will be small.