Muhammad Saqib , Shahida Bashir , Taha Radwan , Rabab Alharbi , Hamiden Abd El-Wahed Kahilfa , Rizwan Gul
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引用次数: 0
Abstract
Nonlinear equations arise in various branches of applied sciences where the real-world problems cannot be formulated accurately in linear forms. It is a fascinating and thrilling task to develop numerical methods for estimating the roots of nonlinear equations. In this work, new sixth and seventh-order iterative methods for estimating the solutions of nonlinear equations in coupled systems are developed using modified Homotopy perturbation techniques. The convergence of the proposed methods is examined. The recently proposed iterative methods are supported by numerical examples. Computer comparisons with some previous schemes in the literature have demonstrated the effectiveness of these new methods. They also show a lower computational cost and a quicker convergence rate. Researchers, mathematicians, and engineers use polynomiography extensively as a tool to visualize and understand the behavior of complex equations. Our suggested techniques generate polynomiographs of complex polynomials that clearly display the roots.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.