Development and analysis of an efficient Jacobian-free method for systems of nonlinear equations

A multi-step derivative-free iterative technique is developed by extending the well-known Traub-Steffensen iteration for solving the systems of nonlinear equations. Keeping in mind the computational aspects, the general idea to construct the scheme is to utilize the single inverse operator per iteration. In fact, these type of techniques are hardly found in literature. Under the standard assumption, the proposed technique is found to possess the fifth order of convergence. In order to demonstrate the computational complexity, the efficiency index is computed and further compared with the efficiency of existing methods of similar nature. The complexity analysis suggests that the developed method is computationally more efficient than their existing counterparts. Furthermore, the performance of method is examined numerically through locating the solutions to a variety of systems of nonlinear equations. Numerical results regarding accuracy, convergence behavior and elapsed CPU time confirm the efficient behavior of the proposed technique.

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Publication Details

Journal
Mathematical Modelling and Analysis
Published
2025-04-24
DOI
https://doi.org/10.3846/mma.2025.21097
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
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article

Development and analysis of an efficient Jacobian-free method for systems of nonlinear equations

Sunil Kumar, Harmandeep Singh, Janak Raj Sharma
Mathematical Modelling and Analysis
Iterative Methods for Nonlinear Equations
article

Development and analysis of an efficient Jacobian-free method for systems of nonlinear equations

Sunil Kumar, Harmandeep Singh, Janak Raj Sharma
article en

Abstract

A multi-step derivative-free iterative technique is developed by extending the well-known Traub-Steffensen iteration for solving the systems of nonlinear equations. Keeping in mind the computational aspects, the general idea to construct the scheme is to utilize the single inverse operator per iteration. In fact, these type of techniques are hardly found in literature. Under the standard assumption, the proposed technique is found to possess the fifth order of convergence. In order to demonstrate the computational complexity, the efficiency index is computed and further compared with the efficiency of existing methods of similar nature. The complexity analysis suggests that the developed method is computationally more efficient than their existing counterparts. Furthermore, the performance of method is examined numerically through locating the solutions to a variety of systems of nonlinear equations. Numerical results regarding accuracy, convergence behavior and elapsed CPU time confirm the efficient behavior of the proposed technique.

Mathematical Modelling and AnalysisVol. 30(2)
Chandigarh University (IN), Sant Longowal Institute of Engineering and Technology (IN), Punjab Agricultural University (IN)
Openalex Percentile: Top 87%
Iterative Methods for Nonlinear Equations
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