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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 4903791, 7 pages
Research Article

Support Recovery of Greedy Block Coordinate Descent Using the Near Orthogonality Property

College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China

Correspondence should be addressed to Haifeng Li

Received 23 November 2016; Accepted 15 March 2017; Published 27 April 2017

Academic Editor: Bogdan Dumitrescu

Copyright © 2017 Haifeng Li. 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.


In this paper, using the near orthogonal property, we analyze the performance of greedy block coordinate descent (GBCD) algorithm when both the measurements and the measurement matrix are perturbed by some errors. An improved sufficient condition is presented to guarantee that the support of the sparse matrix is recovered exactly. A counterexample is provided to show that GBCD fails. It improves the existing result. By experiments, we also point out that GBCD is robust under these perturbations.