svd

• full name: tenpy.linalg.svd_robust.svd

• parent module: tenpy.linalg.svd_robust

• type: function

tenpy.linalg.svd_robust.svd(a, full_matrices=True, compute_uv=True, overwrite_a=False, check_finite=True, lapack_driver='gesdd', warn=True)

Wrapper around scipy.linalg.svd() with gesvd backup plan.

Tries to avoid raising an LinAlgError by using using the lapack_driver gesvd, if gesdd failed.

Parameters

overwrite_abool

Ignored (i.e. set to False) if lapack_driver='gesdd'. Otherwise described in scipy.linalg.svd().

lapack_driver{‘gesdd’, ‘gesvd’}, optional

Whether to use the more efficient divide-and-conquer approach ('gesdd') or general rectangular approach ('gesvd') to compute the SVD. MATLAB and Octave use the 'gesvd' approach. Default is 'gesdd'. If 'gesdd' fails, 'gesvd' is used as backup.

warnbool

whether to create a warning when the SVD failed.

Other parameters as described in doc-string of :func:`scipy.linalg.svd`

Returns

U, S, Vhndarray

As described in doc-string of scipy.linalg.svd()