global_methods

Description

The function names of this module represents global optimization methods that can be specified as global_opts["method"] in fit().

Functions

basinhopping(parameters_guess, bounds, ...)	Fit defined parameters for equation of state object using scipy.optimize.basinhopping with given experimental data.
brute(parameters_guess, bounds, fit_bead, ...)	Fit defined parameters for equation of state object using scipy.optimize.brute with given experimental data.
differential_evolution(parameters_guess, ...)	Fit defined parameters for equation of state object using scipy.optimize.differential_evolution with given experimental data.
grid_minimization(parameters_guess, bounds, ...)	Fit defined parameters for equation of state object using a custom adaptation of scipy.optimize.brute with given experimental data.
shgo(parameters_guess, bounds, fit_bead, ...)	Fit defined parameters for equation of state object using scipy.optimize.shgo with given experimental data.
single_objective(parameters_guess, bounds, ...)	Evaluate parameter set for equation of state with given experimental data