cwt_matrix(n_rows, n_columns, seed=None)

Given the desired size of matrix, the method returns a matrix S of size (n_rows, n_columns) where each column has all the entries set to 0 except for one position which has been randomly set to +1 or -1 with equal probability.

Notes

Given a matrix A, with probability at least 9/10, .. math:: \|SA\| = (1 \pm \epsilon)\|A\| Where the error epsilon is related to the size of S.

Parameters

n_rows: int :

Number of rows of S

n_columns: int :

Number of columns of S

seed : {None, int, `numpy.random.Generator`,

numpy.random.RandomState }, optional

If seed is None (or :None:None:`np.random`), the numpy.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed . If seed is already a Generator or RandomState instance then that instance is used.

Returns

S : (n_rows, n_columns) csc_matrix

The returned matrix has n_columns nonzero entries.

Generate a matrix S which represents a Clarkson-Woodruff transform.

Examples

See :

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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/_sketches.py#14
type: <class 'function'>
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