scipy 1.8.0 Pypi GitHub Homepage
Other Docs
NotesParametersReturns

Progressively smaller steps are used for larger floating point types.

Notes

The default relative step will be np.float64. However, if x0 or f0 are smaller floating point types (np.float16, np.float32), then the smallest floating point type is chosen.

Parameters

f0_dtype: np.dtype :

dtype of function evaluation

x0_dtype: np.dtype :

dtype of parameter vector

method: {'2-point', '3-point', 'cs'} :

Returns

EPS: float

relative step size. May be np.float16, np.float32, np.float64

Calculates relative EPS step to use for a given data type and numdiff step 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


GitHub : /scipy/optimize/_numdiff.py#90
type: <class 'functools._lru_cache_wrapper'>
Commit: