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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65683
Volume:
10 |
6 |
Jun 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Mathematics
MIT Arts Commerce and Science College, Alandi, Pune, Maharashtra

Mathematics
MIT Arts Commerce and Science College, Alandi, Pune, Maharashtra
The process of solving nonlinear equations is central to many scientific and engineering problems. Numerous iterative methods have been proposed to find the roots of such equations. This paper aims to review and analyze existing root-finding algorithms, with an emphasis on the comparative performance of these methods. The work considers methods such as the Bisection Method, Newton-Raphson Method, and Secant Method, and evaluates their convergence rates and applicability. In particular, we propose a novel algorithm that builds upon existing methods and seeks to improve the convergence behavior for nonlinear equations, especially in complex real-world scenarios.
KEYWORDS
This paper provides a comprehensive review of iterative methods for solving nonlinear equations and introduces a novel algorithm that combines the strengths of existing methods. The proposed method offers improved convergence and computational efficiency, making it a promising tool for solving complex nonlinear equations in various fields. Future work will involve extensive testing and refinement of the algorithm to validate its effectiveness in real-world applications.
1. Beong In Yun, “Iterative methods for solving nonlinear equations with finitely many roots in an interval,” Journal of Computational and Applied Mathematics, 2012. 2. Dey, A., “Mathematical Models Formulation and Comparison Study of Various Meth-ods of Root-Finding Problems,” 2015. 3. Ehiwario, J.C., Aghamie, S.O., “Comparative Study of Bisection, Newton-Raphson, and Secant Methods of Root-Finding Problems,” IOSR Journal of Engineering (IOS-RJEN), 2014. 4. Ahmad, A.G., “Comparative Study of Bisection and Newton-Raphson Methods of Root-Finding Problems,” 2015. 5. Akram, S., Ann, Q.U., “Newton-Raphson Method,” International Journal of Scientific & Engineering Research, 2015. 6. Saheya, B., Chen, G., Sui, Y., Wu, C., “A New Newton-like Method for Solving Nonlinear Equations,” 2016. 7. Thota, S., “A New Root Finding Algorithm Using Exponential Series,” Mathematical Journal, 2019. 8. Sharma, S., “A Comparative Analysis of Rate of Convergence for Linear and Quadratic Approximations in N-R Method,” 2017.
Publication Date
6/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
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