Convergence analysis of iterative compositions in nonlinear modeling: exploring semilocal and local convergence phenomena
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.
Authors
- Sunil Kumar (ORCID: https://orcid.org/0000-0002-8471-5139)
- Janak Raj Sharma (ORCID: https://orcid.org/0000-0002-4627-2795)
- Ioannis K. Argyros (ORCID: https://orcid.org/0000-0002-9189-9298)
Institutions
- Chandigarh University (IN)
- Cameron University (US)
- Sant Longowal Institute of Engineering and Technology (IN)
Publication Details
- Journal
- Journal of Numerical Analysis and Approximation Theory
- Published
- 2025-06-30
- DOI
- https://doi.org/10.33993/jnaat541-1397
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00