A FAMILY OF OPTIMAL EIGHTH-ORDER ITERATIVE METHODS FOR MULTIPLE ROOTS OF NONLINEAR EQUATIONS

In this manuscript, we develop a family of optimal eighth-order iterative methods for approximating multiple roots of nonlinear equations with known multiplicity, derived by modifying an existing simple-root iterative method. The family is constructed by incorporating a multivariate weight function, where specific choices of this function yield distinct members while preserving eighth-order convergence. Convergence order is rigorously established through theoretical analysis. Comprehensive numerical experiments on real-life and academic problems demonstrate the accuracy and computational efficiency of the proposed methods relative to some well known existing methods. Dynamical analysis via basins of attraction in the complex plane further reveals the stability and convergence behavior of the proposed family.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2026-07-23
DOI
https://doi.org/10.11948/20250299
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
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article

A FAMILY OF OPTIMAL EIGHTH-ORDER ITERATIVE METHODS FOR MULTIPLE ROOTS OF NONLINEAR EQUATIONS

Waikhom Henarita Chanu, Sunil Panday, Oinam Thoungamba
Journal of Applied Analysis & Computation
Iterative Methods for Nonlinear Equations
article

A FAMILY OF OPTIMAL EIGHTH-ORDER ITERATIVE METHODS FOR MULTIPLE ROOTS OF NONLINEAR EQUATIONS

Waikhom Henarita Chanu, Sunil Panday, Oinam Thoungamba
article en

Abstract

In this manuscript, we develop a family of optimal eighth-order iterative methods for approximating multiple roots of nonlinear equations with known multiplicity, derived by modifying an existing simple-root iterative method. The family is constructed by incorporating a multivariate weight function, where specific choices of this function yield distinct members while preserving eighth-order convergence. Convergence order is rigorously established through theoretical analysis. Comprehensive numerical experiments on real-life and academic problems demonstrate the accuracy and computational efficiency of the proposed methods relative to some well known existing methods. Dynamical analysis via basins of attraction in the complex plane further reveals the stability and convergence behavior of the proposed family.

Journal of Applied Analysis & ComputationVol. 17(1)
Openalex Percentile: Top 6%
Iterative Methods for Nonlinear Equations
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