minimize(method=’trust-ncg’)#
- scipy.optimize.minimize(fun, x0, args=(), method='trust-ncg', jac=None, hess=None, hessp=None, tol=None, callback=None, options={})
Minimization of scalar function of one or more variables using the Newton conjugate gradient trust-region algorithm.
See also
For documentation for the rest of the parameters, see
scipy.optimize.minimize- Options
- initial_trust_radiusfloat
Initial trust-region radius.
- max_trust_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.