On the stability analysis of numerical schemes for solving non-linear polynomials arises in engineering problems

Mudassir Shams; Nasreen Kausar; Serkan Araci; Liang Kong; Mudassir Shams; Nasreen Kausar; Serkan Araci; Liang Kong

doi:10.3934/math.2024433

AIMS Mathematics

2024, Volume 9, Issue 4: 8885-8903. doi: 10.3934/math.2024433

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On the stability analysis of numerical schemes for solving non-linear polynomials arises in engineering problems

1.
Faculty of Engineering, Free University of Bozen-Bolzano (BZ), 39100, Italy
2.
Department of Mathematics and Statistics, Riphah International University I-14, Islamabad 44000, Pakistan
3.
Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Esenler 34220, Istanbul, Türkiye
4.
Department of Basic Sciences, Faculty of Engineering, Hasan Kalyoncu University, TR-27010 Gaziantep, Türkiye
5.
Department of Mathematical Sciences and Philosophy, University of Illinois Springfield, USA

Received: 24 December 2023 Revised: 13 February 2024 Accepted: 19 February 2024 Published: 04 March 2024
MSC : 65H04, 65H05, 65Y05, 65M12

This study shows the link between computer science and applied mathematics. It conducts a dynamics investigation of new root solvers using computer tools and develops a new family of single-step simple root-finding methods. The convergence order of the proposed family of iterative methods is two, according to the convergence analysis carried out using symbolic computation in the computer algebra system CAS-Maple 18. Without further evaluations of a given nonlinear function and its derivatives, a very rapid convergence rate is achieved, demonstrating the remarkable computing efficiency of the novel technique. To determine the simple roots of nonlinear equations, this paper discusses the dynamic analysis of one-parameter families using symbolic computation, computer animation, and multi-precision arithmetic. To choose the best parametric value used in iterative schemes, it implements the parametric and dynamical plane technique using CAS-MATLAB$ ^{@}R2011b. $ The dynamic evaluation of the methods is also presented utilizing basins of attraction to analyze their convergence behavior. Aside from visualizing iterative processes, this method illustrates not only iterative processes but also gives useful information regarding the convergence of the numerical scheme based on initial guessed values. Some nonlinear problems that arise in science and engineering are used to demonstrate the performance and efficiency of the newly developed method compared to the existing method in the literature.
- complex dynamics,
- parametric plane,
- stability region,
- cpu time,
- engineering application
Citation: Mudassir Shams, Nasreen Kausar, Serkan Araci, Liang Kong. On the stability analysis of numerical schemes for solving non-linear polynomials arises in engineering problems[J]. AIMS Mathematics, 2024, 9(4): 8885-8903. doi: 10.3934/math.2024433

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Abstract

This study shows the link between computer science and applied mathematics. It conducts a dynamics investigation of new root solvers using computer tools and develops a new family of single-step simple root-finding methods. The convergence order of the proposed family of iterative methods is two, according to the convergence analysis carried out using symbolic computation in the computer algebra system CAS-Maple 18. Without further evaluations of a given nonlinear function and its derivatives, a very rapid convergence rate is achieved, demonstrating the remarkable computing efficiency of the novel technique. To determine the simple roots of nonlinear equations, this paper discusses the dynamic analysis of one-parameter families using symbolic computation, computer animation, and multi-precision arithmetic. To choose the best parametric value used in iterative schemes, it implements the parametric and dynamical plane technique using CAS-MATLAB$ ^{@}R2011b. $ The dynamic evaluation of the methods is also presented utilizing basins of attraction to analyze their convergence behavior. Aside from visualizing iterative processes, this method illustrates not only iterative processes but also gives useful information regarding the convergence of the numerical scheme based on initial guessed values. Some nonlinear problems that arise in science and engineering are used to demonstrate the performance and efficiency of the newly developed method compared to the existing method in the literature.

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