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A Partial First-Order Affine-Scaling Method
Gu, Ran; Yuan, Ya Xiang
2019
Source PublicationACTA MATHEMATICA SINICA-ENGLISH SERIES
ISSN1439-8516
Volume35Issue:1Pages:1-16
AbstractWe present a partial first-order affine-scaling method for solving smooth optimization with linear inequality constraints. At each iteration, the algorithm considers a subset of the constraints to reduce the complexity. We prove the global convergence of the algorithm for general smooth objective functions, and show it converges at sublinear rate when the objective function is quadratic. Numerical experiments indicate that our algorithm is efficient.
KeywordLinear inequality constraints affine scaling interior point
DOI10.1007/s10114-017-7097-z
Language英语
Funding ProjectNSFC[11331012] ; NSFC[11461161005]
WOS Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:000459927900001
PublisherSPRINGER HEIDELBERG
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/33440
Collection中国科学院数学与系统科学研究院
Corresponding AuthorGu, Ran
AffiliationChinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Gu, Ran,Yuan, Ya Xiang. A Partial First-Order Affine-Scaling Method[J]. ACTA MATHEMATICA SINICA-ENGLISH SERIES,2019,35(1):1-16.
APA Gu, Ran,&Yuan, Ya Xiang.(2019).A Partial First-Order Affine-Scaling Method.ACTA MATHEMATICA SINICA-ENGLISH SERIES,35(1),1-16.
MLA Gu, Ran,et al."A Partial First-Order Affine-Scaling Method".ACTA MATHEMATICA SINICA-ENGLISH SERIES 35.1(2019):1-16.
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