{"title":"Inertial subgradient extragradient method for solving pseudomonotone variational inequality problems in Banach spaces","authors":"Zai-Yun Peng, Zhi-Ying Peng, Gang Cai, Gao-Xi Li","doi":"10.1080/00036811.2023.2267576","DOIUrl":null,"url":null,"abstract":"AbstractIn this paper, an inertial subgradient extragradient algorithm is proposed to solve the pseudomonotone variational inequality problems in Banach space. This iterative scheme employs a new line-search rule. Strong convergence theorems for the proposed algorithms are established under the assumptions that the operators are non-Lipschitz continuous. Furthermore, several numerical experiments are given to show that our method has better convergence performance than the known ones in the literatures.COMMUNICATED BY: J. ZouKeywords: Variational inequalitiespseudomonotone operatorBanach spacesubgradient extragradient methodstrong convergenceMathematics Subject Classifications: 47H0547H0747H1054H25 Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe first author was supported by the National Natural Science Foundation of China (12271067), the Chongqing Natural Science Foundation (cstc2021jcyj-msxmX0080), the Group Building Project for Scientific Innovation for Universities in Chongqing (CXQT21021) and the Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-K202200704). The second author was supported by the Chongqing Jiaotong University Postgraduate Research Innovation Project (2022S0070) and the Joint Training Base Construction Project for Graduate Students in Chongqing (JDLHPYJD2021016). The third author supported by the Chongqing Natural Science Foundation (CSTB2022NSCQ-MSX1318). The fourth author supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202000710), the Chongqing Natural Science Foundation (CSTB2022NSCQ-MSX1498).","PeriodicalId":55507,"journal":{"name":"Applicable Analysis","volume":"75 5","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applicable Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00036811.2023.2267576","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractIn this paper, an inertial subgradient extragradient algorithm is proposed to solve the pseudomonotone variational inequality problems in Banach space. This iterative scheme employs a new line-search rule. Strong convergence theorems for the proposed algorithms are established under the assumptions that the operators are non-Lipschitz continuous. Furthermore, several numerical experiments are given to show that our method has better convergence performance than the known ones in the literatures.COMMUNICATED BY: J. ZouKeywords: Variational inequalitiespseudomonotone operatorBanach spacesubgradient extragradient methodstrong convergenceMathematics Subject Classifications: 47H0547H0747H1054H25 Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe first author was supported by the National Natural Science Foundation of China (12271067), the Chongqing Natural Science Foundation (cstc2021jcyj-msxmX0080), the Group Building Project for Scientific Innovation for Universities in Chongqing (CXQT21021) and the Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-K202200704). The second author was supported by the Chongqing Jiaotong University Postgraduate Research Innovation Project (2022S0070) and the Joint Training Base Construction Project for Graduate Students in Chongqing (JDLHPYJD2021016). The third author supported by the Chongqing Natural Science Foundation (CSTB2022NSCQ-MSX1318). The fourth author supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202000710), the Chongqing Natural Science Foundation (CSTB2022NSCQ-MSX1498).
期刊介绍:
Applicable Analysis is concerned primarily with analysis that has application to scientific and engineering problems. Papers should indicate clearly an application of the mathematics involved. On the other hand, papers that are primarily concerned with modeling rather than analysis are outside the scope of the journal
General areas of analysis that are welcomed contain the areas of differential equations, with emphasis on PDEs, and integral equations, nonlinear analysis, applied functional analysis, theoretical numerical analysis and approximation theory. Areas of application, for instance, include the use of homogenization theory for electromagnetic phenomena, acoustic vibrations and other problems with multiple space and time scales, inverse problems for medical imaging and geophysics, variational methods for moving boundary problems, convex analysis for theoretical mechanics and analytical methods for spatial bio-mathematical models.