`scipy.optimize._trustregion_exact:_minimize_trustregion_exact`

Signature

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

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

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.
versionadded 1.17.0