bundles / scipy latest / scipy / optimize / _trustregion_exact / _minimize_trustregion_exact
function
scipy.optimize._trustregion_exact:_minimize_trustregion_exact
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: floatInitial trust-region radius.
max_trust_radius: floatMaximum value of the trust-region radius. No steps that are longer than this value will be proposed.
eta: floatTrust region related acceptance stringency for proposed steps.
gtol: floatGradient norm must be less than
gtolbefore successful termination.subproblem_maxiter: int, optionalMaximum number of iterations to perform per subproblem. Only affects trust-exact. Default is 25.
Aliases
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scipy.optimize._minimize._minimize_trustregion_exact