Alpha conds.m

Applies one of the line search acceptance tests used by the bracketing and sectioning routines in constrained optimisation and returns true when the chosen condition is satisfied.

Syntax

             test=alpha_conds(test_type,alpha,fx_0,fx_1,...
                              gfx_0,gfx_1,dir,spin_system)

Parameters

   test_type         - condition selector:

                       0 for monotonic increase test
                       1 for Armijo sufficient increase test
                       2 for strong Wolfe curvature test
                       3 for ascent direction test

   alpha             - trial step length

   fx_0              - objective value at the initial point

   fx_1              - objective value at the trial point

   gfx_0             - gradient at the initial point

   gfx_1             - gradient at the trial point

   dir               - search direction vector

   spin_system       - Spinach data structure with line
                       search settings in control

Outputs

   test              - logical true if the selected
                       condition is satisfied

Examples

See examples in the Spinach distribution relevant to this function.

Notes

This page was generated from the function header in the Spinach repository.

See also

bracketing.m, sectioning.m, cubic_interp.m, fmaxnewton.m, bfgs.m, aux_mat.m, dirdiff.m, drifts.m, ensemble.m, hess_reorder.m, objeval.m, optimcon.m, trapdiff.m, Optimal_control_module

Version 2.11, authors: David Goodwin, Ilya Kuprov