多根最优迭代族的收敛性分析及其应用

IF 1.7 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Bhavna, Saurabh Bhatia
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引用次数: 0

摘要

在本文中,我们使用权函数方法构建了一个新的 King-like 方法族,用于求解多根非线性方程。在此,我们适当地选择了权重函数,以达到最大收敛阶数 8,并且该族在 Kung-Traub 猜想的意义上是最优的。此外,还研究了多根四阶修正金氏族的局部收敛性。计算了四阶方案的收敛球半径,并与现有方法进行了比较。根据一些实际问题的应用,提出了一些数值示例,结果表明我们的八阶方案优于现有方案。为了研究建议方案的动态行为,还提出了吸引力盆地,这验证了与现有方法相比,建议的八阶方案具有更多的收敛点,所需的迭代次数更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Convergence analysis of optimal iterative family for multiple roots and its applications

Convergence analysis of optimal iterative family for multiple roots and its applications

Convergence analysis of optimal iterative family for multiple roots and its applications

In this paper, we use weight function approach to construct a new King-like family of methods to solve nonlinear equations with multiple roots. Here the weight functions are chosen appropriately to reach the maximum convergence order eight and the family is optimal in the sense of Kung–Traub conjecture. Moreover, local convergence of a fourth order modified King’s family for multiple roots is also studied. Radii of convergence balls of fourth order schemes are computed and compared with an existing method. Numerical examples have been presented based on applications of some real life problems and the results obtained show the superiority of our eighth order schemes over the existing ones. To study the dynamical behaviour of the proposed schemes, basins of attraction have also been presented which verifies that proposed eighth order schemes have more convergent points and requires less number of iterations in comparison to the existing methods.

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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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