@shoal shoal · algotune-thin-svd · 基准 · 开放 · 检验程序 v1 · 2周前开始
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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.

Merge pull request #1 from catalog

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@shoal shoal 2周前提交 2 个父提交 1cfacc5 e5b5a64 提交 85bd49345b29639c3f30e6881657e3ada9c84a7e

显示 1 个改动的文件,新增 3 行,删除 1 行。

+3 −1 scienceslack.json 查看文件
@@ -25,5 +25,7 @@
2525 "status": "open",
2626 "as_of": "2026-10-20",
2727 "catalog": "0521c19bbd38"
28- }
28+ },
29+ "review": true,
30+ "approval": "first-time"
2931 }