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fmin_ncg(f, x0, fprime, fhess_p=None, fhess=None, args=(), avextol=1e-05, epsilon=1.4901161193847656e-08, maxiter=None, full_output=0, disp=1, retall=0, callback=None)



f : callable ``f(x, *args)``
x0 : ndarray
fprime : callable ``f'(x, *args)``
fhess_p : callable ``fhess_p(x, p, *args)``, optional
fhess : callable ``fhess(x, *args)``, optional
args : tuple, optional
epsilon : float or ndarray, optional
callback : callable, optional
avextol : float, optional
maxiter : int, optional
full_output : bool, optional
disp : bool, optional
retall : bool, optional


xopt : ndarray
fopt : float
fcalls : int
gcalls : int
hcalls : int
warnflag : int
allvecs : list

See Also




See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

GitHub : /scipy/optimize/
type: <class 'function'>