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An Efficient Bi-Parametric With-Memory Iterative Method for Solving Nonlinear Equations

Authors :
Ekta Sharma
Shubham Kumar Mittal
J. P. Jaiswal
Sunil Panday
Source :
AppliedMath, Vol 3, Iss 4, Pp 1019-1033 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

New three-step with-memory iterative methods for solving nonlinear equations are presented. We have enhanced the convergence order of an existing eighth-order memory-less iterative method by transforming it into a with-memory method. Enhanced acceleration of the convergence order is achieved by introducing two self-accelerating parameters computed using the Hermite interpolating polynomial. The corresponding R-order of convergence of the proposed uni- and bi-parametric with-memory methods is increased from 8 to 9 and 10, respectively. This increase in convergence order is accomplished without requiring additional function evaluations, making the with-memory method computationally efficient. The efficiency of our with-memory methods NWM9 and NWM10 increases from 1.6818 to 1.7320 and 1.7783, respectively. Numeric testing confirms the theoretical findings and emphasizes the superior efficacy of suggested methods when compared to some well-known methods in the existing literature.

Details

Language :
English
ISSN :
26739909
Volume :
3
Issue :
4
Database :
Directory of Open Access Journals
Journal :
AppliedMath
Publication Type :
Academic Journal
Accession number :
edsdoj.755813f2e3be433d9daa8a6056cad363
Document Type :
article
Full Text :
https://doi.org/10.3390/appliedmath3040051