line_search_wolfe1(f, fprime, xk, pk, gfk=None, old_fval=None, old_old_fval=None, args=(), c1=0.0001, c2=0.9, amax=50, amin=1e-08, xtol=1e-14)

Parameters

f : callable

Function :None:None:`f(x)`

fprime : callable

Gradient of f

xk : array_like

Current point

pk : array_like

Search direction

gfk : array_like, optional

Gradient of f at point :None:None:`xk`

old_fval : float, optional

Value of f at point :None:None:`xk`

old_old_fval : float, optional

Value of f at point preceding :None:None:`xk`

The rest of the parameters are the same as for `scalar_search_wolfe1`. :

Returns

stp, f_count, g_count, fval, old_fval

As in line_search_wolfe1

gval : array

Gradient of f at the final point

As scalar_search_wolfe1 but do a line search to direction :None:None:`pk`

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.optimize._linesearch.line_search_wolfe1

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/_linesearch.py#31
type: <class 'function'>
Commit: