Abstract

There are a few optimal eighth order methods in literature for computing multiple zeros of a nonlinear function. Therefore, in this work our main focus is on developing a new family of optimal eighth order iterative methods for multiple zeros. The applicability of proposed methods is demonstrated on some real life and academic problems that illustrate the efficient convergence behavior. It is shown that the newly developed schemes are able to compete with other methods in terms of numerical error, convergence and computational time. Stability is also demonstrated by means of a pictorial tool, namely, basins of attraction that have the fractal-like shapes along the borders through which basins are symmetric.

Highlights

  • Finding out the roots of nonlinear equations is an important task in numerical mathematics and has many advantages in engineering and applied sciences [1,2,3,4,5]

  • We consider numerical methods for locating the multiple root α of multiplicity m of a nonlinear equation f ( x ) = 0

  • Multipoint methods with optimal eighth order convergence have been proposed in the literature which are shown below: Symmetry 2020, 12, 1947; doi:10.3390/sym12121947

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Summary

Introduction

Finding out the roots of nonlinear equations is an important task in numerical mathematics and has many advantages in engineering and applied sciences [1,2,3,4,5]. We consider numerical methods for locating the multiple root α of multiplicity m of a nonlinear equation f ( x ) = 0. A number of two-point optimal fourth order methods have been proposed for multiple zeros (see [10,11,12,14,15,16,19,20,21,22,23,24,25]). Some non-optimal multipoint methods of sixth order are developed in [17,26]. Multipoint methods with optimal eighth order convergence have been proposed in the literature which are shown below: Symmetry 2020, 12, 1947; doi:10.3390/sym12121947 www.mdpi.com/journal/symmetry

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