fmin_tnc(func, x0, fprime=None, args=(), approx_grad=0, bounds=None, epsilon=1e-08, scale=None, offset=None, messages=15, maxCGit=-1, maxfun=None, eta=-1, stepmx=0, accuracy=0, fmin=0, ftol=-1, xtol=-1, pgtol=-1, rescale=-1, disp=None, callback=None)

Notes

Parameters

func : callable ``func(x, *args)``

x0 : array_like

fprime : callable ``fprime(x, *args)``, optional

args : tuple, optional

approx_grad : bool, optional

bounds : list, optional

epsilon : float, optional

scale : array_like, optional

offset : array_like, optional

messages : int, optional

disp : int, optional

maxCGit : int, optional

maxfun : int, optional

eta : float, optional

stepmx : float, optional

accuracy : float, optional

fmin : float, optional

ftol : float, optional

xtol : float, optional

pgtol : float, optional

rescale : float, optional

callback : callable, optional

Returns

x : ndarray

nfeval : int

rc : int

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/_tnc.py#89
type: <class 'function'>
Commit: