Strong convergence of hybrid algorithms for fixed point and bifunction equilibrium problems in reflexive Banach spaces
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Authors
Lingmin Zhang
- Institute of Mathematics and Information Technology, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei, 066004, China.
Xinbin Li
- Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei, 066004, China.
Abstract
Fixed point and bifunction equilibrium problems are studied via hybrid algorithms. Strong convergence
theorems are established in the framework of re
exive Banach spaces. The results presented in this paper
improve the corresponding results announced by many authors recently.
Share and Cite
ISRP Style
Lingmin Zhang, Xinbin Li, Strong convergence of hybrid algorithms for fixed point and bifunction equilibrium problems in reflexive Banach spaces, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 3, 1323--1333
AMA Style
Zhang Lingmin, Li Xinbin, Strong convergence of hybrid algorithms for fixed point and bifunction equilibrium problems in reflexive Banach spaces. J. Nonlinear Sci. Appl. (2016); 9(3):1323--1333
Chicago/Turabian Style
Zhang, Lingmin, Li, Xinbin. "Strong convergence of hybrid algorithms for fixed point and bifunction equilibrium problems in reflexive Banach spaces." Journal of Nonlinear Sciences and Applications, 9, no. 3 (2016): 1323--1333
Keywords
- Asymptotically quasi-\(\phi\)-nonexpansive mapping
- equilibrium problem
- fixed point
- generalized projection.
MSC
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