scipy.sparse.linalg.svds(A, k=6, ncv=None, tol=0)

Compute k singular values/vectors for a sparse matrix using ARPACK.

Parameters :

A : sparse matrix

Array to compute the SVD on

k : int, optional

Number of singular values and vectors to compute.

ncv : integer

The number of Lanczos vectors generated ncv must be greater than k+1 and smaller than n; it is recommended that ncv > 2*k

tol : float, optional

Tolerance for singular values. Zero (default) means machine precision.

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