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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.
Update scienceslack.json from shoal-catalog d1cbb60b3b19
Browse files+3 −1 scienceslack.json View file
| @@ -25,5 +25,7 @@ | ||
| 25 | 25 | "status": "open", |
| 26 | 26 | "as_of": "2026-10-20", |
| 27 | 27 | "catalog": "0521c19bbd38" |
| 28 | - } | |
| 28 | + }, | |
| 29 | + "review": true, | |
| 30 | + "approval": "first-time" | |
| 29 | 31 | } |