S-semigoodness for Low-Rank Semidefinite Matrix Recovery
We extend and characterize the concept of s-semigoodness for a sensing matrix in sparse nonnegative recovery (proposed by Juditsky , Karzan and Nemirovski [Math Program, 2011]) to the linear transformations in low-rank semidefinite matrix recovery. We show that ssemigoodnessis not only a necessary a...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
Yokohama Publishers
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/8702 |