_multi_svd_norm(x, row_axis, col_axis, op)

This is a private utility function used by numpy.linalg.norm() .

Parameters

x : ndarray

row_axis, col_axis : int

The axes of x that hold the 2-D matrices.

op : callable

This should be either numpy.amin or numpy.amax or numpy.sum .

Returns

result : float or ndarray

If x is 2-D, the return values is a float. Otherwise, it is an array with x.ndim - 2 dimensions. The return values are either the minimum or maximum or sum of the singular values of the matrices, depending on whether :None:None:`op` is numpy.amin or numpy.amax or numpy.sum .

Compute a function of the singular values of the 2-D matrices in x.

Examples

See :

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GitHub : /numpy/linalg/linalg.py#2317
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