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首页> 外文期刊>Abstract and applied analysis >Modified Hybrid Block Iterative Algorithm for Convex Feasibility Problems and Generalized Equilibrium Problems for Uniformly Quasi-ϕ-Asymptotically Nonexpansive Mappings
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Modified Hybrid Block Iterative Algorithm for Convex Feasibility Problems and Generalized Equilibrium Problems for Uniformly Quasi-ϕ-Asymptotically Nonexpansive Mappings

机译:一致拟ϕ-渐近非扩张映射的凸可行性问题和广义均衡问题的改进混合块迭代算法

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摘要

We introduce a modified block hybrid projection algorithm for solving the convex feasibility problems for an infinite family of closed and uniformly quasi-ϕ-asymptotically nonexpansive mappings and the set of solutions of the generalized equilibrium problems. We obtain a strong convergence theorem for the sequences generated by this process in a uniformly smooth and strictly convex Banach space with Kadec-Klee property. The results presented in this paper improve and extend some recent results.
机译:我们引入了一种改进的块混合投影算法,用于求解无限大的闭合均匀一致拟ϕ渐近非扩张映射的凸可行性问题和广义平衡问题的解集。我们在具有Kadec-Klee性质的均匀光滑且严格凸的Banach空间中针对此过程生成的序列获得了强收敛定理。本文提出的结果改进并扩展了一些最新结果。

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