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High order family of multivariate iterative methods: Convergence and stability
Journal of Computational and Applied Mathematics ( IF 2.1 ) Pub Date : 2020-06-06 , DOI: 10.1016/j.cam.2020.113053
Ramandeep Behl , Alicia Cordero , Juan R. Torregrosa

In this manuscript, we design an efficient sixth-order scheme for solving nonlinear systems of equations, with only two steps in its iterative expression. Moreover, it belongs to a new parametric class of methods whose order of convergence is, at least, four. In this family, the most stable members have been selected by using techniques of real multidimensional dynamics; also, some members with undesirable chaotic behavior have been found and rejected for practical purposes. Finally, all these high-order schemes have been numerically checked and compared with other existing procedures of the same order of convergence, showing good and stable performance.



中文翻译:

多元迭代方法的高阶族:收敛性和稳定性

在此手稿中,我们设计了一种有效的六阶方案,用于求解方程组的非线性系统,其迭代表达式只有两个步骤。而且,它属于一种新的参数化方法类,其收敛阶至少为4。在这个家族中,最稳定的成员是通过使用真实的多维动力学技术来选择的。另外,出于实际目的,发现并拒绝了一些具有不良混沌行为的成员。最后,所有这些高阶方案都经过了数值检验,并与其他具有相同收敛阶数的过程进行了比较,显示了良好且稳定的性能。

更新日期:2020-06-06
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