Derivative-free optimal multiple-root finding family of iterative methods

Abstract A new family of iterative methods for finding multiple roots of nonlinear problems is proposed. The family is derivative-free and optimal in the sense of Kung–Traub’s conjecture. The two-step family includes a weight function. The stability analysis uses two different weight functions: a polynomial and a rational function. Furthermore, a numerical benchmark is carried out on these two weight functions, showing the competitiveness concerning similar methods in the literature.

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Publication Details

Journal
Computational and Applied Mathematics
Published
2026-03-13
DOI
https://doi.org/10.1007/s40314-026-03702-8
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Derivative-free optimal multiple-root finding family of iterative methods

Neus Garrido, Julissa H. Jerezano, Francisco I. Chicharro
Computational and Applied Mathematics
Iterative Methods for Nonlinear Equations
article

Derivative-free optimal multiple-root finding family of iterative methods

Neus Garrido, Julissa H. Jerezano, Francisco I. Chicharro
article en

Abstract

Abstract A new family of iterative methods for finding multiple roots of nonlinear problems is proposed. The family is derivative-free and optimal in the sense of Kung–Traub’s conjecture. The two-step family includes a weight function. The stability analysis uses two different weight functions: a polynomial and a rational function. Furthermore, a numerical benchmark is carried out on these two weight functions, showing the competitiveness concerning similar methods in the literature.

Computational and Applied MathematicsVol. 45(7)
National Autonomous University of Honduras (HN), Universitat Politècnica de València (ES)
Universitat Politècnica de València
Openalex Percentile: Top 21%
Iterative Methods for Nonlinear Equations
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