optimize

Descriptive description.

Optimize

Class for ensemble optimization algorithms. These are classified by calculating the sensitivity or gradient using ensemble instead of classical derivatives. The loop is else as a classic optimization loop: a state (or control variable) will be iterated upon using an algorithm defined in the update_scheme package.

Attributes:

Name	Type	Description
logger	Logger	Print output to screen and log-file
pickle_restart_file	str	Save name for pickle dump/load
optimize_result	OptimizeResult	Dictionary with results for the current iteration
iteration	int	Iteration index
max_iter	int	Max number of iterations
restart	bool	Restart flag
restartsave	bool	Save restart information flag

Methods:

Name	Description
run_loop	The main optimization loop
save	Save restart file
load	Load restart file
calc_update	Empty dummy function, actual functionality must be defined by the subclasses

__init__(**options)

Parameters:

Name	Type	Description	Default
options	dict	Optimization options	{}

calc_update()

This is an empty dummy function. Actual functionality must be defined by the subclasses.

load()

Load a pickled file and save all info. in self.

run_loop()

This is the main optimization loop.

save()

We use pickle to dump all the information we have in 'self'. Can be used, e.g., if some error has occurred.