非线性模型及其动力学的一种有效的最优无导数四阶方法及其记忆变量

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Himani Sharma, M. Kansal, R. Behl
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引用次数: 0

摘要

我们提出了一种新的求解非线性方程组的无记忆无导数最优迭代方案。文献中存在许多迭代方案,当f′(x)=0时,它们要么发散,要么失败。然而,即使在这种情况下,我们提出的方案仍然有效。此外,我们在从当前和以前的近似估计的自加速参数的帮助下,扩展了具有记忆的迭代方法的相同思想。因此,在没有添加任何进一步的功能评估的情况下,收敛顺序从4个增加到7个。为了证实理论结果,包括了数值算例和与一些现有方法的比较,表明我们的方案比现有方案更有效。此外,还包括吸引盆地,以清楚地描述所提出的方法以及一些现有方法的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Optimal Derivative-Free Fourth-Order Method and Its Memory Variant for Non-Linear Models and Their Dynamics
We propose a new optimal iterative scheme without memory free from derivatives for solving non-linear equations. There are many iterative schemes existing in the literature which either diverge or fail to work when f′(x)=0. However, our proposed scheme works even in these cases. In addition, we extended the same idea for iterative methods with memory with the help of self-accelerating parameters estimated from the current and previous approximations. As a result, the order of convergence increased from four to seven without the addition of any further functional evaluation. To confirm the theoretical results, numerical examples and comparisons with some of the existing methods are included which reveal that our scheme is more efficient than the existing schemes. Furthermore, basins of attraction are also included to describe a clear picture of the convergence of the proposed method as well as some of the existing methods.
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来源期刊
Mathematical & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
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