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The information includes the exact 1-norm of the operator, in addition to estimates of 1-norms of powers of the operator. This uses the notation of Computing the Action (2011). This class is specialized enough to probably not be of general interest outside of this module.

Information about an operator is lazily computed.

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/sparse/linalg/_expm_multiply.py#314
type: <class 'type'>
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