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.

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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
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article

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

Sunil Kumar, Janak Raj Sharma, Ioannis K. Argyros
Journal of Numerical Analysis and Approximation Theory
Matrix Theory and Algorithms
article

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

Sunil Kumar, Janak Raj Sharma, Ioannis K. Argyros
article en

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.

Journal of Numerical Analysis and Approximation TheoryVol. 54(1)
Chandigarh University (IN), Cameron University (US), Sant Longowal Institute of Engineering and Technology (IN)
Openalex Percentile: Top 83%
Matrix Theory and Algorithms
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Convergence analysis of iterative compositions in nonlinear modeling: exploring semilocal and local convergence phenomena — Sunil Kumar, Janak Raj Sharma, et al. · Journal of Numerical Analysis and Approximation Theory (2025) | TGRS Research Map | TGRS