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

Author:

Sharma Ekta1,Mittal Shubham Kumar1,Jaiswal J. P.2,Panday Sunil1

Affiliation:

1. Department of Mathematics, National Institute of Technology Manipur, Imphal 795004, India

2. Department of Mathematics, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur 495009, India

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.

Publisher

MDPI AG

Reference13 articles.

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5. Some Newton-type iterative methods with and without memory for solving nonlinear equations;Wang;Int. J. Comput. Methods,2014

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