Convergence rate for the hybrid iterative technique to explore the real root of nonlinear problems

This study explored the convergence rate of the hybrid numerical iterative technique (HNIT) for the solution of nonlinear problems (NLPs) of one variable ( f (x) = 0) . It is sightseen that convergence rate is two for the HNIT. By the HNIT, several algebraic and transcendental NLPs of one variable h...

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Bibliographic Details
Main Authors: Wajid Ali Shaikh, Abdul Ghafoor Shaikh, Muhammad Memon, Abdul Hanan Sheikh
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2023-01-01
Series:Mehran University Research Journal of Engineering and Technology
Online Access:https://publications.muet.edu.pk/index.php/muetrj/article/view/2585
Description
Summary:This study explored the convergence rate of the hybrid numerical iterative technique (HNIT) for the solution of nonlinear problems (NLPs) of one variable ( f (x) = 0) . It is sightseen that convergence rate is two for the HNIT. By the HNIT, several algebraic and transcendental NLPs of one variable have been illustrated as an approximate real root for efficient performance. In many instances, HNIT is more vigorous and attractive than well-known conventional iterative techniques (CITs). The computational tool MATLAB has been used for the solution of iterative techniques.
ISSN:0254-7821
2413-7219