Journal of Computational and Applied Mathematics2022,Vol.40516.DOI:10.1016/j.cam.2020.113053

High order family of multivariate iterative methods: Convergence and stability

Behl, Ramandeep Cordero, Alicia Torregrosa, Juan R.
Journal of Computational and Applied Mathematics2022,Vol.40516.DOI:10.1016/j.cam.2020.113053

High order family of multivariate iterative methods: Convergence and stability

Behl, Ramandeep 1Cordero, Alicia 2Torregrosa, Juan R.2
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作者信息

  • 1. King Abdulaziz Univ
  • 2. Univ Politecn Valencia
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Abstract

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. (C) 2020 Elsevier B.V. All rights reserved.

Key words

Nonlinear systems of equations/Iterative methods/Acceleration of convergence/Real multidimensional dynamics/SOLVING NONLINEAR-SYSTEMS/DYNAMICS/4TH

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量18
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