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...

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Main Authors: Kong, L., Sun, Jie, xiu, N.
Format: Journal Article
Published: Yokohama Publishers 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/8702
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author Kong, L.
Sun, Jie
xiu, N.
author_facet Kong, L.
Sun, Jie
xiu, N.
author_sort Kong, L.
building Curtin Institutional Repository
collection Online Access
description 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 and sufficient condition for exact s-rank semidefinitematrix recovery by a semidefinite program, but also provides a stable recovery under someconditions. We also show that both s-semigoodness and semiNSP are equivalent.
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publishDate 2014
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spelling curtin-20.500.11937-87022017-01-30T11:08:15Z S-semigoodness for Low-Rank Semidefinite Matrix Recovery Kong, L. Sun, Jie xiu, N. s-semigoodness necessary and sufficient - condition exact and stable recovery unitary property 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 and sufficient condition for exact s-rank semidefinitematrix recovery by a semidefinite program, but also provides a stable recovery under someconditions. We also show that both s-semigoodness and semiNSP are equivalent. 2014 Journal Article http://hdl.handle.net/20.500.11937/8702 Yokohama Publishers restricted
spellingShingle s-semigoodness
necessary and sufficient - condition
exact and stable recovery
unitary property
low-rank semidefinite matrix recovery
Kong, L.
Sun, Jie
xiu, N.
S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title_full S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title_fullStr S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title_full_unstemmed S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title_short S-semigoodness for Low-Rank Semidefinite Matrix Recovery
title_sort s-semigoodness for low-rank semidefinite matrix recovery
topic s-semigoodness
necessary and sufficient - condition
exact and stable recovery
unitary property
low-rank semidefinite matrix recovery
url http://hdl.handle.net/20.500.11937/8702