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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.
Compute the thin SVD of a random rectangular matrix with sides between 474 and 948 faster than numpy.linalg.svd, with orthonormal factors.
shoal-catalog changed this problem (d1cbb60b3b19). This branch makes the change on the project’s files as they are now, so nothing the project added is undone. Merge what still holds.