Jarratt-type methods and their convergence analysis without using Taylor expansion

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-02-15 Epub Date: 2024-10-08 DOI:10.1016/j.amc.2024.129112
Indra Bate, Kedarnath Senapati, Santhosh George, Muniyasamy M, Chandhini G
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Abstract

In this paper, we study the local convergence analysis of the Jarratt-type iterative methods for solving non-linear equations in the Banach space setting without using the Taylor expansion. Convergence analysis using Taylor series required the operator to be differentiable at least p+1 times, where p is the order of convergence. In our convergence analysis, we do not use the Taylor expansion, so we require only assumptions on the derivatives of the involved operator of order up to three only. Thus, we extended the applicability of the methods under study. Further, we obtained a six-order Jarratt-type method by utilising the method studied by Hueso et al. in 2015. Numerical examples and dynamics of the methods are presented to illustrate the theoretical results.
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不使用泰勒展开的 Jarratt 型方法及其收敛性分析
本文研究了在巴拿赫空间环境中求解非线性方程的 Jarratt 型迭代法的局部收敛分析,而不使用泰勒展开。使用泰勒级数进行收敛分析要求算子至少可微分 p+1 次,其中 p 是收敛阶数。在我们的收敛分析中,我们不使用泰勒展开,因此我们只需要对所涉及的算子的导数进行最多三阶的假设。因此,我们扩展了所研究方法的适用范围。此外,我们还利用 Hueso 等人在 2015 年研究的方法,获得了六阶 Jarratt 型方法。为了说明理论结果,我们介绍了这些方法的数值示例和动力学原理。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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