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dual_annealing(func, bounds, args=(), maxiter=1000, minimizer_kwargs=None, initial_temp=5230.0, restart_temp_ratio=2e-05, visit=2.62, accept=-5.0, maxfun=10000000.0, seed=None, no_local_search=False, callback=None, x0=None)



func : callable
bounds : sequence or `Bounds`
args : tuple, optional
maxiter : int, optional
minimizer_kwargs : dict, optional
initial_temp : float, optional
restart_temp_ratio : float, optional
visit : float, optional
accept : float, optional
maxfun : int, optional
seed : {None, int, `numpy.random.Generator`, `numpy.random.RandomState`}, optional
no_local_search : bool, optional
callback : callable, optional
x0 : ndarray, shape(n,), optional


res : OptimizeResult


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'>