Generalized hybrid algorithms for fixed point and mixed equilibrium problems in Banach spaces
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Authors
Yinglin Luo
- Department of Mathematics, Tianjin Polytechnic University, 300387, China.
Yongfu Su
- Department of Mathematics, Tianjin Polytechnic University, 300387, China.
Wenbiao Gao
- Department of Mathematics, Tianjin Polytechnic University, 300387, China.
Abstract
The purpose of this paper is to introduce and investigate a more generalized hybrid shrinking projection
algorithm for finding a common solution for a system of generalized mixed equilibrium problems. A accelerated strong convergence theorem of common solutions is established in the framework of a non-uniformly
convex Banach space. These new results improve and extend the previously known ones in the literature.
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ISRP Style
Yinglin Luo, Yongfu Su, Wenbiao Gao, Generalized hybrid algorithms for fixed point and mixed equilibrium problems in Banach spaces, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 12, 6312--6332
AMA Style
Luo Yinglin, Su Yongfu, Gao Wenbiao, Generalized hybrid algorithms for fixed point and mixed equilibrium problems in Banach spaces. J. Nonlinear Sci. Appl. (2016); 9(12):6312--6332
Chicago/Turabian Style
Luo, Yinglin, Su, Yongfu, Gao, Wenbiao. "Generalized hybrid algorithms for fixed point and mixed equilibrium problems in Banach spaces." Journal of Nonlinear Sciences and Applications, 9, no. 12 (2016): 6312--6332
Keywords
- Hybrid projection algorithm
- monotone mapping
- equilibrium problem
- variational inequality
- quasi-nonexpansive mapping
- fixed point.
MSC
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