Singular value decomposition#
SVD via numpy.linalg.svd() and the Eckart-Young best low-rank approximation.
Also the Moore-Penrose pseudoinverse and minimum-norm least squares.
Eckart-Young: the best low-rank approximation from the SVD
Eckart-Young: the best low-rank approximation from the SVD
