两个六阶方法在相同弱条件下的扩展收敛性

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

摘要

高收敛阶迭代方法在科学、计算和工程数学中发挥着重要作用,因为它们产生收敛的序列,从而为非线性方程提供解决方案。收敛阶是使用泰勒级数扩展来计算的,这需要高阶导数的存在和计算,而这在方法中并不存在。因此,这些结果不能保证该方法在不存在高阶导数的情况下收敛。然而,该方法可以收敛。在本文中,我们开发了一个过程,在这个过程中,两种相关的六阶方法的局部和半局部收敛分析都是完全由方法中的算子提供的信息得到的。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。
Extended Convergence for Two Sixth Order Methods under the Same Weak Conditions
High-convergence order iterative methods play a major role in scientific, computational and engineering mathematics, as they produce sequences that converge and thereby provide solutions to nonlinear equations. The convergence order is calculated using Taylor Series extensions, which require the existence and computation of high-order derivatives that do not occur in the methodology. These results cannot, therefore, ensure that the method converges in cases where there are no such high-order derivatives. However, the method could converge. In this paper, we are developing a process in which both the local and semi-local convergence analyses of two related methods of the sixth order are obtained exclusively from information provided by the operators in the method. Numeric applications supplement the theory.
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