scipy 1.8.0 Pypi GitHub Homepage
Other Docs
iddr_aid(A, k)
paramA

Matrix.

typeA

numpy.ndarray

paramk

Rank of ID.

typek

int

return

Column index array.

rtype

numpy.ndarray

return

Interpolation coefficients.

rtype

numpy.ndarray

Compute ID of a real matrix to a specified rank using random sampling.

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/linalg/_interpolative_backend.py#719
type: <class 'function'>
Commit: