Fast monte-carlo algorithms for finding low-rank approximations.
We consider the problem of approximating a given m × n matrix A by another matrix of specified rank k, which is smaller than m and n. The Singular Value Decomposition (SVD) can be used to find the "best" such approximation. However, it takes time polynomial in m, n which is prohibitive for...
| Τόπος έκδοσης: | Journal of the ACM 51, 6 (2004). |
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| Κύριος συγγραφέας: | |
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Θέματα: |