SIGN IN
SIGN UP
A fast and efficient algorithm for low-rank approximation of a matrix
Full Text:
PDF
Buy this Article
Authors:
Nam H. Nguyen
Johns Hopkins University, Baltimore, MD, USA
Thong T. Do
Johns Hopkins University, Baltimore, MD, USA
Trac D. Tran
Johns Hopkins University, Baltimore, MD, USA
Published in:
· Proceeding
STOC '09
Proceedings of the 41st annual ACM symposium on Theory of computing
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-506-2
doi>
10.1145/1536414.1536446
2009 Article
Bibliometrics
· Downloads (6 Weeks): 5
· Downloads (12 Months): 72
· Citation Count: 3
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
STOC'12
Share:
|
Tags:
algorithms
computations on matrices
low rank matrix approximation
noncommutative khintchine inequality
singular value decomposition
singular value decomposition
structurally random matrix
theory
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder