在均匀凸巴拿赫空间设置中使用定点法的新迭代算法的效率

Axioms Pub Date : 2024-07-26 DOI:10.3390/axioms13080502
R. Srivastava, Wakeel Ahmed, Asifa Tassaddiq, Nouf Alotaibi
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引用次数: 0

摘要

在存在巴拿赫空间的情况下,本研究提出了一种使用 Chatterjea-Suzuki-C (CSC) 条件的新型迭代算法,并建立了收敛定理。我们对所提算法的有效性进行了分析和数值讨论。我们利用主要结果解释了 Caputo 分数微分问题的解法,然后提供了数值模拟来验证结果。此外,我们还使用 MATLAB R (2021a) 将使用新迭代算法获得的数值结果与现有的一些高效算法进行了比较。这项工作似乎有助于推动当前巴拿赫空间定点逼近迭代技术的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency of a New Iterative Algorithm Using Fixed-Point Approach in the Settings of Uniformly Convex Banach Spaces
In the presence of Banach spaces, a novel iterative algorithm is presented in this study using the Chatterjea–Suzuki–C (CSC) condition, and the convergence theorems are established. The efficacy of the proposed algorithm is discussed analytically and numerically. We explain the solution of the Caputo fractional differential problem using our main result and then provide the numerical simulation to validate the results. Moreover, we use MATLAB R (2021a) to compare the obtained numerical results using the new iterative algorithm with some efficient existing algorithms. The work seems to contribute to the current advancement of fixed-point approximation iterative techniques in Banach spaces.
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