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Enhanced Ninth-Order Memory-Based Iterative Technique for Efficiently Solving Nonlinear Equations

Shubham Kumar Mittal, Sunil Panday () and Lorentz Jäntschi
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Shubham Kumar Mittal: Department of Mathematics, National Institute of Technology Manipur, Langol, Imphal 795004, Manipur, India
Sunil Panday: Department of Mathematics, National Institute of Technology Manipur, Langol, Imphal 795004, Manipur, India
Lorentz Jäntschi: Department of Physics and Chemistry, Technical University of Cluj-Napoca, 103-105 Muncii Blvd., 400641 Cluj-Napoca, Romania

Mathematics, 2024, vol. 12, issue 22, 1-15

Abstract: In this article, we present a novel three-step with-memory iterative method for solving nonlinear equations. We have improved the convergence order of a well-known optimal eighth-order iterative method by converting it into a with-memory version. The Hermite interpolating polynomial is utilized to compute a self-accelerating parameter that improves the convergence order. The proposed uni-parametric with-memory iterative method improves its R-order of convergence from 8 to 8.8989 . Additionally, no more function evaluations are required to achieve this improvement in convergence order. Furthermore, the efficiency index has increased from 1.6818 to 1.7272 . The proposed method is shown to be more effective than some well-known existing methods, as shown by extensive numerical testing on a variety of problems.

Keywords: nonlinear equation; roots; efficiency index; iterative method; with-memory methods (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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