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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of the ACM 51, 6 (2004).
1. Verfasser: Frieze, Alan
Format: Artikel
Sprache:English
Schlagworte: