Module base_classes

Bases classes for the minfx optimisation library.

This module contains the following base classes:

• Min: The base class containing the main iterative minimisation loop and a few other base class functions.
• Line_search: The base class containing the generic line search functions.
• Trust_region: The base class containing the generic trust-region functions.
• Conjugate_gradient: The base class containing the generic conjugate gradient functions.

Classes

Min

Line_search

Trust_region

Conjugate_gradient

Hessian_mods

Functions

print_iter(k=None, xk=None, fk=None, print_prefix='')
Format and print out the iteration information.

Variables

__package__ = 'minfx'

Imports: dot, sqrt, inv, LinAlgError, match, sys, backtrack, nocedal_wright_interpol, nocedal_wright_wolfe, more_thuente, cholesky_mod, eigenvalue, gmw, gmw_old, se99

Function Details

print_iter(k=None, xk=None, fk=None, print_prefix='')

Format and print out the iteration information.

Parameters:

• k (int) - The iteration number.
• xk (numpy rank-1 array) - The parameter array.
• fk (float) - The function value.
• print_prefix (str) - The string to add to the start of the print out.