Numerical scheme for estimating all roots of non-linear equations with applications

Author:

Shams Mudassir1,Kausar Nasreen2,Araci Serkan3,Oros Georgia Irina4

Affiliation:

1. Department of Mathematics and Statistics, Riphah International University I-14, Islamabad 44000, Pakistan

2. Department of Mathematics, Yildiz Technical University, Faculty of Arts and Science, Esenler, 34220, Istanbul, Türkiye

3. Department of Basic Sciences, Faculty of Engineering, Hasan Kalyoncu University, Gaziantep TR-27010, Türkiye

4. Department of Mathematics and Computer Science, University of Oradea, Oradea 410087, Romania

Abstract

<abstract><p>The roots of non-linear equations are a major challenge in many scientific and professional fields. This problem has been approached in a number of ways, including use of the sequential Newton's method and the traditional Weierstrass simultaneous iterative scheme. To approximate all of the roots of a given nonlinear equation, sequential iterative algorithms must use a deflation strategy because rounding errors can produce inaccurate results. This study aims to develop an efficient numerical simultaneous scheme for approximating all nonlinear equations' roots of convergence order 12. The numerical outcomes of the considered engineering problems show that, in terms of accuracy, validations, error, computational CPU time, and residual error, recently developed simultaneous methods perform better than existing methods in the literature.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Mathematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perspective Chapter: On Two-Step Hybrid Numerical-Butterfly Optimization Technique for System of Nonlinear Equations in Banach Space;Nonlinear Systems and Matrix Analysis - Recent Advances in theory and Applications [Working Title];2024-08-22

2. A New Approach to Multiroot Vectorial Problems: Highly Efficient Parallel Computing Schemes;Fractal and Fractional;2024-03-12

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