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Abstract and Applied Analysis
Volume 2013, Article ID 101974, 9 pages
Research Article

-Goodness for Low-Rank Matrix Recovery

1Department of Applied Mathematics, Beijing Jiaotong University, Beijing 100044, China
2Department of Combinatorics and Optimization, Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada N2L 3G1

Received 21 January 2013; Accepted 17 March 2013

Academic Editor: Jein-Shan Chen

Copyright © 2013 Lingchen Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lingchen Kong, Levent Tunçel, and Naihua Xiu, “-Goodness for Low-Rank Matrix Recovery,” Abstract and Applied Analysis, vol. 2013, Article ID 101974, 9 pages, 2013.