Hybrid shrinking iterative solutions to convex feasibility problems and a system of generalized mixed equilibrium problems


Authors

Youbing Xiong - Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, P. R. China.


Abstract

The purpose of this paper is to propose a new hybrid shrinking iterative scheme for approximating common elements of the set of solutions to convex feasibility problems for countable families of weak relatively nonexpansive mappings of a set of solutions to a system of generalized mixed equilibrium problems. A strong convergence theorem is established in the framework of Banach spaces. The results extend those of other authors, in which the involved mappings consist of just finitely many ones.


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ISRP Style

Youbing Xiong, Hybrid shrinking iterative solutions to convex feasibility problems and a system of generalized mixed equilibrium problems, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 6, 4798--4813

AMA Style

Xiong Youbing, Hybrid shrinking iterative solutions to convex feasibility problems and a system of generalized mixed equilibrium problems. J. Nonlinear Sci. Appl. (2016); 9(6):4798--4813

Chicago/Turabian Style

Xiong, Youbing. "Hybrid shrinking iterative solutions to convex feasibility problems and a system of generalized mixed equilibrium problems." Journal of Nonlinear Sciences and Applications, 9, no. 6 (2016): 4798--4813


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