_minimize_newtoncg(fun, x0, args=(), jac=None, hess=None, hessp=None, callback=None, xtol=1e-05, eps=1.4901161193847656e-08, maxiter=None, disp=False, return_all=False, **unknown_options)
Note that the :None:None:`jac` parameter (Jacobian) is required.
Set to True to print convergence messages.
Average relative error in solution :None:None:`xopt` acceptable for convergence.
Maximum number of iterations to perform.
If hessp
is approximated, use this value for the step size.
Set to True to return a list of the best solution at each of the iterations.
Minimization of scalar function of one or more variables using the Newton-CG algorithm.
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