{"title":"求解实数Hilbert空间中不动点集约束平衡问题的分离系统的平行外渐逼近方法","authors":"Anteneh Getachew Gebrie, R. Wangkeeree","doi":"10.30697/rfpta-2018-011","DOIUrl":null,"url":null,"abstract":"In this paper, we propose two parallel extragradient-proximal methods for solving finite family of split equilibrium problems and split common fixed point problems, we call the problem split system of fixed point set constraint equilibrium problem (SSFPSCEP). The algorithms combine the extragradient method, the proximal method and the shrinking projection method. The weak and strong convergence theorems for iterative sequences generated by the algorithms are established under widely used assumptions for equilibrium bifunctions. To obtain the strong convergence, we combine the first algorithm with the shrinking projection method in the second algorithm. Finally, appplication and one numerical experiment is given to demonstrate the efficiency of our algorithms.","PeriodicalId":119592,"journal":{"name":"Results in Fixed Point Theory and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PARALLEL EXTRAGRADIENT-PROXIMAL METHODS FOR SOLVING SPLIT SYSTEM OF FIXED POINT SET CONSTRAINT EQUILIBRIUM PROBLEM IN REAL HILBERT SPACE\",\"authors\":\"Anteneh Getachew Gebrie, R. Wangkeeree\",\"doi\":\"10.30697/rfpta-2018-011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose two parallel extragradient-proximal methods for solving finite family of split equilibrium problems and split common fixed point problems, we call the problem split system of fixed point set constraint equilibrium problem (SSFPSCEP). The algorithms combine the extragradient method, the proximal method and the shrinking projection method. The weak and strong convergence theorems for iterative sequences generated by the algorithms are established under widely used assumptions for equilibrium bifunctions. To obtain the strong convergence, we combine the first algorithm with the shrinking projection method in the second algorithm. Finally, appplication and one numerical experiment is given to demonstrate the efficiency of our algorithms.\",\"PeriodicalId\":119592,\"journal\":{\"name\":\"Results in Fixed Point Theory and Applications\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Results in Fixed Point Theory and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30697/rfpta-2018-011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Fixed Point Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30697/rfpta-2018-011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PARALLEL EXTRAGRADIENT-PROXIMAL METHODS FOR SOLVING SPLIT SYSTEM OF FIXED POINT SET CONSTRAINT EQUILIBRIUM PROBLEM IN REAL HILBERT SPACE
In this paper, we propose two parallel extragradient-proximal methods for solving finite family of split equilibrium problems and split common fixed point problems, we call the problem split system of fixed point set constraint equilibrium problem (SSFPSCEP). The algorithms combine the extragradient method, the proximal method and the shrinking projection method. The weak and strong convergence theorems for iterative sequences generated by the algorithms are established under widely used assumptions for equilibrium bifunctions. To obtain the strong convergence, we combine the first algorithm with the shrinking projection method in the second algorithm. Finally, appplication and one numerical experiment is given to demonstrate the efficiency of our algorithms.