A family of Newton-type methods with seventh and eighth-order of convergence for solving systems of nonlinear equations

IF 0.7 4区 数学 Q2 MATHEMATICS Hacettepe Journal of Mathematics and Statistics Pub Date : 2023-01-01 DOI:10.15672/hujms.1061471
T. Zhanlav, Renchin-Ochir Mijiddorj, Otgondorj Khuder
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引用次数: 1

Abstract

In this work, we first develop a new family of three-step seventh and eighth-order Newton-type iterative methods for solving systems of nonlinear equations. We also propose some different choices of parameter matrices that ensure the convergence order. The proposed family includes some known methods of special cases. The computational cost and efficiency index of our methods are discussed. Numerical experiments give to support the theoretical results.
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求解非线性方程组的一组七阶和八阶收敛的牛顿型方法
在这项工作中,我们首先开发了一种新的三步七阶和八阶牛顿型迭代方法,用于求解非线性方程组。我们还提出了保证收敛顺序的参数矩阵的几种不同选择。建议的家庭包括一些已知的特殊情况的方法。讨论了这些方法的计算成本和效率指标。数值实验结果支持了理论结果。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Hacettepe Journal of Mathematics and Statistics covers all aspects of Mathematics and Statistics. Papers on the interface between Mathematics and Statistics are particularly welcome, including applications to Physics, Actuarial Sciences, Finance and Economics. We strongly encourage submissions for Statistics Section including current and important real world examples across a wide range of disciplines. Papers have innovations of statistical methodology are highly welcome. Purely theoretical papers may be considered only if they include popular real world applications.
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