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# minimize(method=’dogleg’)

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 the dog-leg 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.