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bundles / scipy latest / scipy / optimize / _trustregion_ncg / _minimize_trust_ncg

function

scipy.optimize._trustregion_ncg:_minimize_trust_ncg

source: /scipy/optimize/_trustregion_ncg.py :11

Signature

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

Summary

Minimization of scalar function of one or more variables using the Newton conjugate gradient 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.

Aliases

  • scipy.optimize._minimize._minimize_trust_ncg