Development and adaptation of higher-order iterative methods in R<sup>n</sup> with specific rules

In this article, we propose fourth- and fifth-order two-step iterative methods for solving the systems of nonlinear equations in \(R^n\) with the operations of multiplication and division of vectors. Some of the proposed optimal fourth-order methods are considered as an extension of well-known methods that designed only for solving the nonlinear equations. We also developed \(p\) \((5 \leqslant p \leqslant 8)\)—order three-point iterative methods for solving the systems of nonlinear equations, that contain some known iterations as particular cases. The computational efficiency of the new methods has been calculated and compared. The outcomes of numerical experiments are given to support the theoretical results concerning convergence order and computational efficiency. Comparative analysis demonstrates the superiority of the developed numerical techniques.

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Publication Details

Journal
Discrete and Continuous Models and Applied Computational Science
Published
2024-12-15
DOI
https://doi.org/10.22363/2658-4670-2024-32-4-425-444
Citations
4
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
2.93
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article

Development and adaptation of higher-order iterative methods in Rn with specific rules

4 citations
Discrete and Continuous Models and Applied Computational Science
Iterative Methods for Nonlinear Equations
2.93
article

Development and adaptation of higher-order iterative methods in Rn with specific rules

article en
4 citations

Abstract

In this article, we propose fourth- and fifth-order two-step iterative methods for solving the systems of nonlinear equations in \(R^n\) with the operations of multiplication and division of vectors. Some of the proposed optimal fourth-order methods are considered as an extension of well-known methods that designed only for solving the nonlinear equations. We also developed \(p\) \((5 \leqslant p \leqslant 8)\)—order three-point iterative methods for solving the systems of nonlinear equations, that contain some known iterations as particular cases. The computational efficiency of the new methods has been calculated and compared. The outcomes of numerical experiments are given to support the theoretical results concerning convergence order and computational efficiency. Comparative analysis demonstrates the superiority of the developed numerical techniques.

Discrete and Continuous Models and Applied Computational ScienceVol. 32(4)
Mongolian Academy of Sciences (MN), Mongolian University of Science and Technology (MN)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Iterative Methods for Nonlinear Equations
2.93
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