Highly Accurate and Stable Class of Zero‐Finding Numerical Methods Based on Daftardar–Jafari Decomposition Approach for Engineering Applications

ABSTRACT This study introduces a class of zero‐finding numerical methods that integrates the Daftardar–Jafari decomposition approach with the midpoint quadrature rule. This hybrid formulation enhances both stability and accuracy by coupling analytical decomposition with a balanced numerical integration scheme. A detailed convergence analysis—via Taylor and semilocal frameworks—demonstrates third‐ and fourth‐order convergence, achieving up to average absolute error across benchmark nonlinear problems. The stability of the proposed solvers is visualized through polynomiography, confirming robust attraction basins compared to classical Newton‐type methods. Extensive simulations on engineering and physical models (including fluid dynamics and boundary value problems) reveal faster convergence and improved efficiency indices. The paper concludes with insights on extending the method to multivariable systems and potential future developments.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-01-14
DOI
https://doi.org/10.1002/mma.70467
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
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article

Highly Accurate and Stable Class of Zero‐Finding Numerical Methods Based on Daftardar–Jafari Decomposition Approach for Engineering Applications

Krzysztof Gdawiec, Amanullah Soomro, Fozia Shaikh, Mehmet Yavuz et al.
Mathematical Methods in the Applied Sciences
Iterative Methods for Nonlinear Equations
article

Highly Accurate and Stable Class of Zero‐Finding Numerical Methods Based on Daftardar–Jafari Decomposition Approach for Engineering Applications

Krzysztof Gdawiec, Amanullah Soomro, Fozia Shaikh, Mehmet Yavuz, S. Qureshi, Paras Nizamani, Dumitru Baleanu, Ioannis K. Argyros
article en

Abstract

ABSTRACT This study introduces a class of zero‐finding numerical methods that integrates the Daftardar–Jafari decomposition approach with the midpoint quadrature rule. This hybrid formulation enhances both stability and accuracy by coupling analytical decomposition with a balanced numerical integration scheme. A detailed convergence analysis—via Taylor and semilocal frameworks—demonstrates third‐ and fourth‐order convergence, achieving up to average absolute error across benchmark nonlinear problems. The stability of the proposed solvers is visualized through polynomiography, confirming robust attraction basins compared to classical Newton‐type methods. Extensive simulations on engineering and physical models (including fluid dynamics and boundary value problems) reveal faster convergence and improved efficiency indices. The paper concludes with insights on extending the method to multivariable systems and potential future developments.

Mathematical Methods in the Applied Sciences
Khazar University (AZ), Cameron University (US), Mehran University of Engineering and Technology (PK), Necmettin Erbakan University (TR), Kyrgyz-Türkish Manas Üniversity (KG), Institute of Occupational Medicine and Environmental Health (PL), Lebanese American University (LB), Near East University (CY)
Openalex Percentile: Top 86%
Iterative Methods for Nonlinear Equations
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Highly Accurate and Stable Class of Zero‐Finding Numerical Methods Based on Daftardar–Jafari Decomposition Approach for Engineering Applications — Krzysztof Gdawiec, Amanullah Soomro, et al. · Mathematical Methods in the Applied Sciences (2026) | TGRS Research Map | TGRS