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# minimize(method=’trust-exact’)

scipy.optimize.minimize(fun, x0, args=(), method=None, jac=None, hess=None, hessp=None, bounds=None, constraints=(), tol=None, callback=None, options=None)

  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_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.