中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
SNIG PROPERTY OF MATRIX LOW-RANK FACTORIZATION MODEL

文献类型:期刊论文

作者Wang, Hong1; Liu, Xin2; Chen, Xiaojun1; Yuan, Ya-xiang2
刊名JOURNAL OF COMPUTATIONAL MATHEMATICS
出版日期2018
卷号36期号:3页码:374-390
关键词Low rank factorization Nonconvex optimization Second-order optimality condition Global minimizer
ISSN号0254-9409
DOI10.4208/jcm.1707-m2016-0796
英文摘要Recently, the matrix factorization model attracts increasing attentions in handling large-scale rank minimization problems, which is essentially a nonconvex minimization problem. Specifically, it is a quadratic least squares problem and consequently a quartic polynomial optimization problem. In this paper, we introduce a concept of the SNIG ("Second-order Necessary optimality Implies Global optimality") condition which stands for the property that any second-order stationary point of the matrix factorization model must be a global minimizer. Some scenarios under which the SNIG condition holds are presented. Furthermore, we illustrate by an example when the SNIG condition may fail.
资助项目NSFC[11331012] ; NSFC[11461161005] ; China 863 Program[2013AA122902] ; National Center for Mathematics and Interdisciplinary Sciences, CAS ; NSFC/Hong Kong Research Grant Council[N-PolyU504/14]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000455995700004
出版者GLOBAL SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/32213]  
专题计算数学与科学工程计算研究所
通讯作者Wang, Hong
作者单位1.Hong Kong Polytech Univ, Dept Appl Math, Hong Kong, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, State Key Lab Sci & Engn Comp, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Hong,Liu, Xin,Chen, Xiaojun,et al. SNIG PROPERTY OF MATRIX LOW-RANK FACTORIZATION MODEL[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2018,36(3):374-390.
APA Wang, Hong,Liu, Xin,Chen, Xiaojun,&Yuan, Ya-xiang.(2018).SNIG PROPERTY OF MATRIX LOW-RANK FACTORIZATION MODEL.JOURNAL OF COMPUTATIONAL MATHEMATICS,36(3),374-390.
MLA Wang, Hong,et al."SNIG PROPERTY OF MATRIX LOW-RANK FACTORIZATION MODEL".JOURNAL OF COMPUTATIONAL MATHEMATICS 36.3(2018):374-390.

入库方式: OAI收割

来源:数学与系统科学研究院

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