容克型迭代方案的稳定性和数据依赖性结果

Contemporary Mathematics Pub Date : 2024-03-13 DOI:10.37256/cm.5120242525

Puneet Shrama, Ioannis K. Argyros, R. Behl, V. Kanwar

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引用次数: 0

摘要

我们提出并研究了一种新的 Jungck 型迭代方案，用于逼近收缩映射的重合点。讨论了强收敛性、稳定性和数据依赖性结果。数值实验证明，与文献中的其他荣格迭代方案相比，新引入的荣格型迭代方案具有更高的收敛率。

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Stability and Data Dependence Results for Jungck-type Iteration Scheme

We propose and study a new Jungck-type iteration scheme to approximate coincidence points of contractive mappings. The strong convergence, stability, and data dependency results have been discussed. Numerical experiments demonstrate that the newly introduced Jungck-type iteration scheme yields a higher convergence rate in comparison with other Jungck-type iteration schemes available in the literature.

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Contemporary Mathematics

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