A new optimal eighth-order iterative technique for solving simple roots of nonlinear equations

In this study, we present an iterative technique of eighth order for solving a non-linear equation. Our proposed method is optimal according to Kung-Traub conjecture, requiring only four function evaluations per iteration for the eighth order technique. We analysed the theoretical aspects of our scheme, thoroughly exploring its convergence properties through the main theorem, which serves to demonstrate the convergence order. To check the practical utility of our optimal iteration functions, we conduct a comparative analysis against existing competitors using standard academic problems. This enables us to highlight the superior performance and e ectiveness of our approach in solving non-linear equations.

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Publication Details

Journal
Journal of Applied and Numerical Analysis
Published
2024-12-16
DOI
https://doi.org/10.30970/ana.2024.2.30
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
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article

A new optimal eighth-order iterative technique for solving simple roots of nonlinear equations

M. Prashanth, Kamalini Devi, Hemanta Kalita
Journal of Applied and Numerical Analysis
Iterative Methods for Nonlinear Equations
article

A new optimal eighth-order iterative technique for solving simple roots of nonlinear equations

M. Prashanth, Kamalini Devi, Hemanta Kalita
article en

Abstract

In this study, we present an iterative technique of eighth order for solving a non-linear equation. Our proposed method is optimal according to Kung-Traub conjecture, requiring only four function evaluations per iteration for the eighth order technique. We analysed the theoretical aspects of our scheme, thoroughly exploring its convergence properties through the main theorem, which serves to demonstrate the convergence order. To check the practical utility of our optimal iteration functions, we conduct a comparative analysis against existing competitors using standard academic problems. This enables us to highlight the superior performance and e ectiveness of our approach in solving non-linear equations.

Journal of Applied and Numerical AnalysisVol. 2
SRM University (IN), VIT-AP University
Openalex Percentile: Top 64%
Iterative Methods for Nonlinear Equations
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