针对非循环铃木相对非展开映射的改良塔库尔迭代法,具有最佳邻近对的收敛性

IF 0.9 Q2 MATHEMATICS Afrika Matematika Pub Date : 2024-07-31 DOI:10.1007/s13370-024-01206-4
Sangkhae Suwansoontorn, Nawitcha Onjai-Uea, Thanyarat Jitpeera, Chirasak Mongkolkeha, Konrawut Khammahawong
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引用次数: 0

摘要

在本文中,我们修改了塔库尔三步迭代算法,并提供了充分条件和一个有用的 Lemma,以确保在均匀凸巴纳赫空间中的非循环相对铃木非展开映射的最佳邻近对的收敛性。此外,我们还提出了一个例子来说明结果,并对所提出的算法进行了数值模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A modified Thakur’s iteration for noncyclic Suzuki’s relatively nonexpansive mappings with convergence of best proximity pairs

In this paper, we modify the Thakur three-step iterative algorithm and provide sufficient conditions and a useful lemma to ensure the convergence of a best proximity pair for a noncyclic relatively Suzuki’s nonexpansive mapping in uniformly convex Banach spaces. Additionally, we present an example to illustrate the results, accompanied by a numerical simulation for the proposed algorithm.

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来源期刊
Afrika Matematika
Afrika Matematika MATHEMATICS-
CiteScore
2.00
自引率
9.10%
发文量
96
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