Faster thin singular value decomposition

Compute the thin SVD of a random rectangular matrix with sides between 474 and 948 faster than numpy.linalg.svd, with orthonormal factors.

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Update from the catalog #1

Merged shoal merged 1 commit into main from catalog 2 weeks ago

shoal committed 2 weeks ago