Cubic parameter homotopy function for solving nonlinear equations

This study explores the efficacy of the homotopy function, which combines the classical iterative technique with the homotopy continuation method for solving zeros of nonlinear equations and approximating their roots. While numerous homotopy functions have been examined in previous research, this paper focuses on employing a cubic parameter as the homotopy function within the Newton-HCM framework. Through a series of numerical examples, we demonstrate that our proposed homotopy function, named cubic parameter homotopy function, consistently outperforms existing alternatives in terms of accuracy and computational efficiency. The results underscore the effectiveness of leveraging specific homotopy functions within the Newton-HCM approach, offering valuable insights for practitioners and researchers in nonlinear equation solving and computational mathematics.

Authors

Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.02.410
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00
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article

Cubic parameter homotopy function for solving nonlinear equations

Muhammad Zaini Ahmad, Nurul Huda Abd Rahman, Mohd Syaifudin Abdul Rahman, H. M. Nor
Mathematical Modeling and Computing
Iterative Methods for Nonlinear Equations
article

Cubic parameter homotopy function for solving nonlinear equations

Muhammad Zaini Ahmad, Nurul Huda Abd Rahman, Mohd Syaifudin Abdul Rahman, H. M. Nor
article en

Abstract

This study explores the efficacy of the homotopy function, which combines the classical iterative technique with the homotopy continuation method for solving zeros of nonlinear equations and approximating their roots. While numerous homotopy functions have been examined in previous research, this paper focuses on employing a cubic parameter as the homotopy function within the Newton-HCM framework. Through a series of numerical examples, we demonstrate that our proposed homotopy function, named cubic parameter homotopy function, consistently outperforms existing alternatives in terms of accuracy and computational efficiency. The results underscore the effectiveness of leveraging specific homotopy functions within the Newton-HCM approach, offering valuable insights for practitioners and researchers in nonlinear equation solving and computational mathematics.

Mathematical Modeling and ComputingVol. 12(2)
Openalex Percentile: Top 83%
Iterative Methods for Nonlinear Equations
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