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bundles / scipy latest / scipy / optimize / _trustregion_exact / _minimize_trustregion_exact

function

scipy.optimize._trustregion_exact:_minimize_trustregion_exact

source: /scipy/optimize/_trustregion_exact.py :13

Signature

def   _minimize_trustregion_exact ( fun x0 args = () jac = None hess = None ** trust_region_options )

Summary

Minimization of scalar function of one or more variables using a nearly exact trust-region algorithm.

Parameters

initial_trust_radius : float

Initial trust-region radius.

max_trust_radius : float

Maximum value of the trust-region radius. No steps that are longer than this value will be proposed.

eta : float

Trust region related acceptance stringency for proposed steps.

gtol : float

Gradient norm must be less than gtol before successful termination.

subproblem_maxiter : int, optional

Maximum number of iterations to perform per subproblem. Only affects trust-exact. Default is 25.

Aliases

  • scipy.optimize._minimize._minimize_trustregion_exact