Convergence of Best proximity pair for noncyclic Suzuki’s relatively nonexpansive with numerical simulation

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Nawitcha Onjai-Uea
Thanyarat Jitpeera
Chirasak Mongkolkeha
Konrawut Khammahawong

Abstract

The goal of this research is to examine a Thakur’s iterative approach for a noncyclic relatively Suzuki’s nonexpansive with a projection mapping in the famework of convex uniformly Banach space. Using this iteration as a base, we offer a few sufficient conditions and useful lemma to ensure the convergence of a best proximity pair for a mapping. We also provide a case study to illustrate the main results with numerical simulation for this algorithm.

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How to Cite
Nawitcha Onjai-Uea, Thanyarat Jitpeera, Chirasak Mongkolkeha, & Konrawut Khammahawong. (2024). Convergence of Best proximity pair for noncyclic Suzuki’s relatively nonexpansive with numerical simulation. Science & Technology Asia, 29(1), 14–28. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/250917
Section
Physical sciences

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