Family of fourth-order optimal classes for solving multiple-root nonlinear equations

Author:

Chicharro Francisco I.,Garrido Neus,Jerezano Julissa H.,Pérez-Palau Daniel

Abstract

AbstractWe present a new iterative procedure for solving nonlinear equations with multiple roots with high efficiency. Starting from the arithmetic mean of Newton’s and Chebysev’s methods, we generate a two-step scheme using weight functions, resulting in a family of iterative methods that satisfies the Kung and Traub conjecture, yielding an optimal family for different choices of weight function. We have performed an in-depth analysis of the stability of the family members, in order to select those members with the highest stability for application in solving mathematical chemistry problems. We show the good characteristics of the selected methods by applying them on four relevant chemical problems.

Funder

Universidad Politècnica de València

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Chemistry

Reference27 articles.

1. D. Ćebić, N.M. Ralević, Mean-based iterative methods for finding multiple roots in nonlinear chemistry problems. J. Math. Chem. 59, 1498–1519 (2021)

2. F.I. Chicharro, R.A. Contreras, N. Garrido, A family of multiple-root finding iterative methods based on weight functions. Mathematics 8, 2194 (2020)

3. A. Cordero, J.P. Jaiswal, J.R. Torregrosa, Stability analysis of fourth-order iterative method for finding multiple roots of non-linear equations. Appl. Math. Nonlin. Sci. 4, 43–56 (2019)

4. F. Zafar, A. Cordero, R. Quratulain, J.R. Torregrosa, Optimal iterative methods for finding multiple roots of nonlinear equations using free parameters. J. Math. Chem. 56, 1884–1901 (2018)

5. B. Neta, C. Chun, M. Scott, On the development of iterative methods for multiple roots. Appl. Math. Comput. 224, 358–361 (2013)

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