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A stable class of modified Newton-like methods for multiple roots and their dynamics

  • Munish Kansal EMAIL logo , Alicia Cordero , Juan R. Torregrosa and Sonia Bhalla
Published/Copyright: June 29, 2020

Abstract

There have appeared in the literature a lot of optimal eighth-order iterative methods for approximating simple zeros of nonlinear functions. Although, the similar ideas can be extended for the case of multiple zeros but the main drawback is that the order of convergence and computational efficiency reduce dramatically. Therefore, in order to retain the accuracy and convergence order, several optimal and non-optimal modifications have been proposed in the literature. But, as far as we know, there are limited number of optimal eighth-order methods that can handle the case of multiple zeros. With this aim, a wide general class of optimal eighth-order methods for multiple zeros with known multiplicity is brought forward, which is based on weight function technique involving function-to-function ratio. An extensive convergence analysis is demonstrated to establish the eighth-order of the developed methods. The numerical experiments considered the superiority of the new methods for solving concrete variety of real life problems coming from different disciplines such as trajectory of an electron in the air gap between two parallel plates, the fractional conversion in a chemical reactor, continuous stirred tank reactor problem, Planck’s radiation law problem, which calculates the energy density within an isothermal blackbody and the problem arising from global carbon dioxide model in ocean chemistry, in comparison with methods of similar characteristics appeared in the literature.

2010 Mathematics Subject Classification: 65H05

Corresponding author: Munish Kansal, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab147004, India, E-mail:

Funding source: MCIU

Funding source: AEI

Funding source: FEDER

Funding source: UE

Acknowledgments

This research was partially supported by PGC2018-095896-B-C22 (MCIU/AEI/FEDER, UE). The authors would like to thank the anonymous reviewers for their useful suggestions that have improved the final version of this manuscript.

  1. Research funding: This research was partially supported by PGC2018-095896-B-C22 (MCIU/AEI/FEDER, UE).

  2. Employment or leadership: None declared.

  3. Honorarium: None declared.

  4. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  5. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2018-11-16
Accepted: 2020-03-16
Published Online: 2020-06-29
Published in Print: 2020-10-25

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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