Extended Convergence of Two Multi-Step Iterative Methods

Samundra Regmi, I. Argyros, Jinny Ann John, Jayakumar Jayaraman
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引用次数: 1

Abstract

Iterative methods which have high convergence order are crucial in computational mathematics since the iterates produce sequences converging to the root of a non-linear equation. A plethora of applications in chemistry and physics require the solution of non-linear equations in abstract spaces iteratively. The derivation of the order of the iterative methods requires expansions using Taylor series formula and higher-order derivatives not present in the method. Thus, these results cannot prove the convergence of the iterative method in these cases when such higher-order derivatives are non-existent. However, these methods may still converge. Our motivation originates from the need to handle these problems. No error estimates are given that are controlled by constants. The process introduced in this paper discusses both the local and the semi-local convergence analysis of two step fifth and multi-step 5+3r order iterative methods obtained using only information from the operators on these methods. Finally, the novelty of our process relates to the fact that the convergence conditions depend only on the functions and operators which are present in the methods. Thus, the applicability is extended to these methods. Numerical applications complement the theory.
两种多步迭代法的扩展收敛性
具有高收敛阶的迭代方法在计算数学中是至关重要的,因为迭代产生的序列收敛于非线性方程的根。化学和物理中的大量应用需要迭代地求解抽象空间中的非线性方程。迭代方法阶数的求导需要使用泰勒级数公式和方法中不存在的高阶导数进行展开。因此,在不存在高阶导数的情况下,这些结果不能证明迭代方法的收敛性。然而,这些方法可能仍然会收敛。我们的动机源于处理这些问题的需要。没有给出由常数控制的误差估计。本文讨论了两步五阶和多步5+3r阶迭代方法的局部收敛性和半局部收敛性分析。最后,我们的过程的新颖性涉及到这样一个事实,即收敛条件仅取决于方法中存在的函数和算子。因此,将其适用性扩展到这些方法。数值应用补充了理论。
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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