_smart_matrix_product(A, B, alpha=None, structure=None)

Parameters

A : 2d ndarray

First matrix.

B : 2d ndarray

Second matrix.

alpha : float

The matrix product will be scaled by this constant.

structure : str, optional

A string describing the structure of both matrices A and B. Only upper_triangular is currently supported.

Returns

M : 2d ndarray

Matrix product of A and B.

A matrix product that knows about sparse and structured matrices.

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

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GitHub : /scipy/sparse/linalg/_matfuncs.py#127
type: <class 'function'>
Commit: