Structured Low Rank Matrix Optimization Problems: A Penalty Approach

Ph.D

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Main Author: GAO YAN
Other Authors: MATHEMATICS
Format: Theses and Dissertations
Language:English
Published: 2011
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/23706
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-237062017-10-21T09:16:28Z Structured Low Rank Matrix Optimization Problems: A Penalty Approach GAO YAN MATHEMATICS SUN DEFENG structured low rank matrix, a proximal subgradient method, a penalty approach, a smoothing Newton-BiCGStab method Ph.D DOCTOR OF PHILOSOPHY 2011-06-30T18:00:45Z 2011-06-30T18:00:45Z 2010-08-19 Thesis GAO YAN (2010-08-19). Structured Low Rank Matrix Optimization Problems: A Penalty Approach. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/23706 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic structured low rank matrix, a proximal subgradient method, a penalty approach, a smoothing Newton-BiCGStab method
spellingShingle structured low rank matrix, a proximal subgradient method, a penalty approach, a smoothing Newton-BiCGStab method
GAO YAN
Structured Low Rank Matrix Optimization Problems: A Penalty Approach
description Ph.D
author2 MATHEMATICS
author_facet MATHEMATICS
GAO YAN
format Theses and Dissertations
author GAO YAN
author_sort GAO YAN
title Structured Low Rank Matrix Optimization Problems: A Penalty Approach
title_short Structured Low Rank Matrix Optimization Problems: A Penalty Approach
title_full Structured Low Rank Matrix Optimization Problems: A Penalty Approach
title_fullStr Structured Low Rank Matrix Optimization Problems: A Penalty Approach
title_full_unstemmed Structured Low Rank Matrix Optimization Problems: A Penalty Approach
title_sort structured low rank matrix optimization problems: a penalty approach
publishDate 2011
url http://scholarbank.nus.edu.sg/handle/10635/23706
_version_ 1681080085051867136