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_onenormest_product(operator_seq, t=2, itmax=5, compute_v=False, compute_w=False, structure=None)

Parameters

operator_seq : linear operator sequence

Matrices whose 1-norm of product is to be computed.

t : int, optional

A positive parameter controlling the tradeoff between accuracy versus time and memory usage. Larger values take longer and use more memory but give more accurate output.

itmax : int, optional

Use at most this many iterations.

compute_v : bool, optional

Request a norm-maximizing linear operator input vector if True.

compute_w : bool, optional

Request a norm-maximizing linear operator output vector if True.

structure : str, optional

A string describing the structure of all operators. Only upper_triangular is currently supported.

Returns

est : float

An underestimate of the 1-norm of the sparse matrix.

v : ndarray, optional

The vector such that ||Av||_1 == est*||v||_1. It can be thought of as an input to the linear operator that gives an output with particularly large norm.

w : ndarray, optional

The vector Av which has relatively large 1-norm. It can be thought of as an output of the linear operator that is relatively large in norm compared to the input.

Efficiently estimate the 1-norm of the matrix product of the args.

Examples

See :

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GitHub : /scipy/sparse/linalg/_matfuncs.py#294
type: <class 'function'>
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