A hybrid method for a family of relatively quasi-nonexpansive mappings and an equilibrium problem in Banach spaces

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作者
Prasit Cholamjiak
Suthep Suantai
机构
[1] Chiang Mai University,Department of Mathematics, Faculty of Science
[2] Chiang Mai University,Materials Science Research Center, Faculty of Science
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关键词
Common fixed points; Equilibrium problems; Mosco convergence; Relatively quasi-nonexpansive mappings; Shrinking projection algorithm;
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摘要
We introduce a hybrid method for finding a common element in the solutions set of an equilibrium problem and the common fixed points set of a countable family of relatively quasi-nonexpansive mappings in a Banach space. A strong convergence theorem of the proposed method is established by using the concept of the Mosco convergence when the family {Tn} satisfies the (*)-condition. The examples of three generated mappings which satisfy the (*)-condition are also given. Using the obtained result, we give some applications concerning the variational inequality problem and the convex minimization problem.
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页码:83 / 100
页数:17
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