minimize(method=’trust-exact’)¶
-
scipy.optimize.
minimize
(fun, x0, args=(), method='trust-exact', jac=None, hess=None, tol=None, callback=None, options={}) Minimization of scalar function of one or more variables using a nearly exact trust-region algorithm.
See also
For documentation for the rest of the parameters, see
scipy.optimize.minimize
- Options
- initial_tr_radiusfloat
Initial trust-region radius.
- max_tr_radiusfloat
Maximum value of the trust-region radius. No steps that are longer than this value will be proposed.
- etafloat
Trust region related acceptance stringency for proposed steps.
- gtolfloat
Gradient norm must be less than
gtol
before successful termination.