scipy 1.10.1 Pypi GitHub Homepage
Other Docs

ParametersReturnsBackRef
check_derivative(fun, jac, x0, bounds=(-inf, inf), args=(), kwargs={})

Parameters

fun : callable
jac : callable
x0 : array_like of shape (n,) or float
bounds : 2-tuple of array_like, optional
args, kwargs : tuple and dict, optional

Returns

accuracy : float

See Also

approx_derivative

Examples

See :

Back References

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

scipy.optimize._numdiff:approx_derivative

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/_numdiff.py#686
type: <class 'function'>
Commit: