This is documentation for an old release of SciPy (version 0.10.0). Read this page in the documentation of the latest stable release (version 1.15.1).
scipy.sparse.linalg.svds¶
- 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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