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