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)

Notes

Parameters

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

Returns

xopt : ndarray

fopt : float

fcalls : int

gcalls : int

hcalls : int

warnflag : int

allvecs : list

See Also

minimize

:None:None:`method`

Examples

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

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GitHub : /scipy/optimize/_optimize.py#1790
type: <class 'function'>
Commit: