SciPy contains two methods to compute the singular value decomposition (SVD) of a matrix: scipy.linalg.svd
and scipy.sparse.linalg.svds
. In this post I'll compare both methods for the task of computing the full SVD of a large dense matrix.
The first method, scipy.linalg.svd
, is ...
There are comments.