Convergence of Derivative-Free Iterative Methods with or without Memory in Banach Space

Santhosh George, Ioannis K. Argyros, Samundra Regmi
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Abstract

A method without memory as well as a method with memory are developed free of derivatives for solving equations in Banach spaces. The convergence order of these methods is established in the scalar case using Taylor expansions and hypotheses on higher-order derivatives which do not appear in these methods. But this way, their applicability is limited. That is why, in this paper, their local and semi-local convergence analyses (which have not been given previously) are provided using only the divided differences of order one, which actually appears in these methods. Moreover, we provide computable error distances and uniqueness of the solution results, which have not been given before. Since our technique is very general, it can be used to extend the applicability of other methods using linear operators with inverses along the same lines. Numerical experiments are also provided in this article to illustrate the theoretical results.
Banach空间中有无记忆的无导数迭代方法的收敛性
提出了求解巴拿赫空间中方程的无内存法和带内存法。在标量情况下,利用泰勒展开式和高阶导数的假设建立了这些方法的收敛阶。但这样一来,它们的适用性就受到了限制。这就是为什么在本文中,只使用在这些方法中实际出现的1阶的可分差,给出了它们的局部和半局部收敛分析(以前没有给出)。此外,我们还提供了可计算的误差距离和解结果的唯一性,这是以前没有给出的。由于我们的技术是非常通用的,它可以用来扩展其他方法的适用性,这些方法使用的是沿同一条线的逆线性算子。本文还提供了数值实验来说明理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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