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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.
| # | 路线 | Speed-up over the reference implementation (×) ↑ | 对比基线 |
|---|---|---|---|
| — | 基线 · Reference implementation | 1 | 条形从这里开始 |