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A penalty-free method with superlinear convergence for equality constrained optimization
Chen, Zhongwen1; Dai, Yu-Hong2; Liu, Jiangyan1
2020-07-01
Source PublicationCOMPUTATIONAL OPTIMIZATION AND APPLICATIONS
ISSN0926-6003
Volume76Issue:3Pages:801-833
AbstractIn this paper, we propose a new penalty-free method for solving nonlinear equality constrained optimization. This method uses different trust regions to cope with the nonlinearity of the objective function and the constraints instead of using a penalty function or a filter. To avoid Maratos effect, we do not make use of the second order correction or the nonmonotone technique, but utilize the value of the Lagrangian function instead of the objective function in the acceptance criterion of the trial step. The feasibility restoration phase is not necessary, which is often used in filter methods or some other penalty-free methods. Global and superlinear convergence are established for the method under standard assumptions. Preliminary numerical results are reported, which demonstrate the usefulness of the proposed method.
KeywordEquality constrained optimization Trust region method Penalty-free method Global convergence Superlinear convergence
DOI10.1007/s10589-019-00117-6
Indexed BySCI
Language英语
Funding ProjectChinese NSF Grant[11871362] ; Key Projects of the Chinese NSF Grant[11631013] ; National Funds for Distinguished Young Scientists[11125107] ; National 973 Program of China[2015CB856002]
WOS Research AreaOperations Research & Management Science ; Mathematics
WOS SubjectOperations Research & Management Science ; Mathematics, Applied
WOS IDWOS:000542384000008
PublisherSPRINGER
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/51676
Collection中国科学院数学与系统科学研究院
Corresponding AuthorDai, Yu-Hong
Affiliation1.Soochow Univ, Sch Math Sci, Suzhou 215006, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Chen, Zhongwen,Dai, Yu-Hong,Liu, Jiangyan. A penalty-free method with superlinear convergence for equality constrained optimization[J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,2020,76(3):801-833.
APA Chen, Zhongwen,Dai, Yu-Hong,&Liu, Jiangyan.(2020).A penalty-free method with superlinear convergence for equality constrained optimization.COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,76(3),801-833.
MLA Chen, Zhongwen,et al."A penalty-free method with superlinear convergence for equality constrained optimization".COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 76.3(2020):801-833.
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