estimate_spectral_norm(A, its=20)

            <Comment: 
   |value: '..  This function automatically detects the matrix data type and calls the\n    appropriate backend. For details, see :func:`_backend.idd_snorm` and\n    :func:`_backend.idz_snorm`.'
   |>
           

Parameters

A : :class:`scipy.sparse.linalg.LinearOperator`

Matrix given as a scipy.sparse.linalg.LinearOperator with the :None:None:`matvec` and :None:None:`rmatvec` methods (to apply the matrix and its adjoint).

its : int, optional

Number of power method iterations.

Returns

float

Spectral norm estimate.

Estimate spectral norm of a matrix by the randomized power method.

Examples

See :

Local connectivity graph

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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.

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GitHub : /scipy/linalg/interpolative.py#773
type: <class 'function'>
Commit: