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EXACT PENALTY FUNCTION FOR \ell2,1 NORM MINIMIZATION OVER THE STIEFEL MANIFOLD
Xiao, Nachuan1,2; Liu, Xin1,2; Ya-Xiang Yuan1
2021
Source PublicationSIAM JOURNAL ON OPTIMIZATION
ISSN1052-6234
Volume31Issue:4Pages:3097-3126
Abstract\ell 2,1 norm minimization with orthogonality constraints, which comprise a feasible region called the Stiefel manifold, has wide applications in statistics and data science. The state-ofthe-art approaches adopt a proximal gradient technique on either the Stiefel manifold or its tangent spaces. The consequent subproblem does not have a closed-form solution and hence requires an iterative procedure to solve, which is usually time-consuming. In this paper, we discover that the Lagrangian multipliers of the orthogonality constraints in this class of problems are of closed-form expressions. By using this closed-form expression, we introduce a penalty function for this type of problem. We theoretically demonstrate the equivalence between the penalty function and the original \ell 2,1 norm minimization under mild assumptions. Based on the exact penalty function, we propose an inexact proximal gradient method in which the subproblem is of closed-form solution. The global convergence and the worst case complexity are established. Numerical experiments illustrate the advantages of our method when compared with the existing proximal-based first-order methods.
Keywordorthogonality constraint Stiefel manifold nonsmooth optimization augmented Lagrangian method
DOI10.1137/20M1354313
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11971466] ; National Natural Science Foundation of China[11991021] ; National Natural Science Foundation of China[11991020] ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences[ZDBS-LY-7022] ; National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NSFC[11688101]
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000738355700024
PublisherSIAM PUBLICATIONS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59836
Collection中国科学院数学与系统科学研究院
Corresponding AuthorXiao, Nachuan
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Xiao, Nachuan,Liu, Xin,Ya-Xiang Yuan. EXACT PENALTY FUNCTION FOR \ell2,1 NORM MINIMIZATION OVER THE STIEFEL MANIFOLD[J]. SIAM JOURNAL ON OPTIMIZATION,2021,31(4):3097-3126.
APA Xiao, Nachuan,Liu, Xin,&Ya-Xiang Yuan.(2021).EXACT PENALTY FUNCTION FOR \ell2,1 NORM MINIMIZATION OVER THE STIEFEL MANIFOLD.SIAM JOURNAL ON OPTIMIZATION,31(4),3097-3126.
MLA Xiao, Nachuan,et al."EXACT PENALTY FUNCTION FOR \ell2,1 NORM MINIMIZATION OVER THE STIEFEL MANIFOLD".SIAM JOURNAL ON OPTIMIZATION 31.4(2021):3097-3126.
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