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.
PR
PR 把工作从一条路线带到另一条;合并它就是采纳。
没有开放的 PR
PR 把工作从一个分支带到另一个分支。
Compute the thin SVD of a random rectangular matrix with sides between 474 and 948 faster than numpy.linalg.svd, with orthonormal factors.
PR 把工作从一条路线带到另一条;合并它就是采纳。
PR 把工作从一个分支带到另一个分支。