Convergence analysis of iterative compositions in nonlinear modeling: exploring semilocal and local convergence phenomena

Authors

  • Sunil Kumar Department of Mathematics, University Centre for Research and Development, Chandigarh University, India
  • Janak Raj Sharma Department of Mathematics, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India
  • Ioannis K. Argyros Department of Computing and Mathematical Sciences, Cameron University, Lawton, OK 73505, USA https://orcid.org/0000-0002-9189-9298

DOI:

https://doi.org/10.33993/jnaat541-1397

Keywords:

Newton-type method, Radius of convergence, Banach Space, Convergence, Convergence Order
Abstract views: 145

Abstract

In this work, a comprehensive analysis of a multi-step iterative composition for nonlinear equation is performed, providing insights into both local and semilocal convergence properties. The analysis covers a wide range of applications, elucidating the parameters affecting both local and semilocal convergence and offering insightful information for optimizing iterative approaches in nonlinear model-solving tasks. Moreover, we assert the solution's uniqueness by supplying the necessary standards inside the designated field. Lastly, we apply our theoretical deductions to real-world problems and show the related test results to validate our findings.

Downloads

Download data is not yet available.

Downloads

Published

2025-06-30

Issue

Section

Articles

How to Cite

Kumar, S., Janak Raj Sharma, & Ioannis K. Argyros. (2025). Convergence analysis of iterative compositions in nonlinear modeling: exploring semilocal and local convergence phenomena. J. Numer. Anal. Approx. Theory, 54(1), 140-156. https://doi.org/10.33993/jnaat541-1397