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Parameters
_minimize_dogleg(fun, x0, args=(), jac=None, hess=None, **trust_region_options)

Parameters

initial_trust_radius : float

Initial trust-region radius.

max_trust_radius : float

Maximum value of the trust-region radius. No steps that are longer than this value will be proposed.

eta : float

Trust region related acceptance stringency for proposed steps.

gtol : float

Gradient norm must be less than :None:None:`gtol` before successful termination.

Minimization of scalar function of one or more variables using the dog-leg trust-region algorithm.

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


GitHub : /scipy/optimize/_trustregion_dogleg.py#9
type: <class 'function'>
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