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Journal of Applied Mathematics and Computing

Erschienen in:

15.06.2021 | Original Research

Extended iterative schemes based on decomposition for nonlinear models

verfasst von: Ioannis K. Argyros, Debasis Sharma, Christopher I. Argyros, Sanjaya Kumar Parhi, Shanta Kumari Sunanda

Erschienen in: Journal of Applied Mathematics and Computing | Ausgabe 3/2022

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Abstract

We suggest the local analysis of a class of iterative schemes based on decomposition technique for solving Banach space valued nonlinear models. Earlier results used hypotheses up to the fourth derivative to establish convergence. But we only apply the first derivative in our convergence theorem. We also provide computable radius of convergence ball, error estimates and uniqueness of the solution results not studied in earlier works. Hence, we enhance the applicability of these schemes. Furthermore, we explore, using basin of attraction tool, the dynamics of the schemes when they are applied on various complex polynomials. This article is concluded with numerical experiments.

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Titel: Extended iterative schemes based on decomposition for nonlinear models
verfasst von: Ioannis K. Argyros
Debasis Sharma
Christopher I. Argyros
Sanjaya Kumar Parhi
Shanta Kumari Sunanda
Publikationsdatum: 15.06.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Applied Mathematics and Computing / Ausgabe 3/2022
Print ISSN: 1598-5865
Elektronische ISSN: 1865-2085
DOI: https://doi.org/10.1007/s12190-021-01570-5

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