On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations

A class of derivative-free methods without memory for approximating a simple zero of a nonlinear equation is presented. The proposed class uses four function evaluations per iteration with convergence order eight. Therefore, it is an optimal three-step scheme without memory based on Kung-Traub conje...

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Main Authors: T. Lotfi, K. Mahdiani, Z. Noori, F. Khaksar Haghani, S. Shateyi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/134673
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author T. Lotfi
K. Mahdiani
Z. Noori
F. Khaksar Haghani
S. Shateyi
author_facet T. Lotfi
K. Mahdiani
Z. Noori
F. Khaksar Haghani
S. Shateyi
author_sort T. Lotfi
collection DOAJ
description A class of derivative-free methods without memory for approximating a simple zero of a nonlinear equation is presented. The proposed class uses four function evaluations per iteration with convergence order eight. Therefore, it is an optimal three-step scheme without memory based on Kung-Traub conjecture. Moreover, the proposed class has an accelerator parameter with the property that it can increase the convergence rate from eight to twelve without any new functional evaluations. Thus, we construct a with memory method that increases considerably efficiency index from 81/4≈1.681 to 121/4≈1.861. Illustrations are also included to support the underlying theory.
format Article
id doaj-art-4462881b98fc4720ab01bf2fa3677b0f
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-4462881b98fc4720ab01bf2fa3677b0f2025-02-03T06:01:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/134673134673On a New Three-Step Class of Methods and Its Acceleration for Nonlinear EquationsT. Lotfi0K. Mahdiani1Z. Noori2F. Khaksar Haghani3S. Shateyi4Department of Mathematics, Islamic Azad University, Hamedan Branch, Hamedan, IranDepartment of Mathematics, Islamic Azad University, Hamedan Branch, Hamedan, IranDepartment of Mathematics, Islamic Azad University, Hamedan Branch, Hamedan, IranDepartment of Mathematics, Islamic Azad University, Shahrekord Branch, Shahrekord, IranDepartment of Mathematics and Applied Mathematics, School of Mathematical and Natural Sciences, University of Venda, Thohoyandou 0950, South AfricaA class of derivative-free methods without memory for approximating a simple zero of a nonlinear equation is presented. The proposed class uses four function evaluations per iteration with convergence order eight. Therefore, it is an optimal three-step scheme without memory based on Kung-Traub conjecture. Moreover, the proposed class has an accelerator parameter with the property that it can increase the convergence rate from eight to twelve without any new functional evaluations. Thus, we construct a with memory method that increases considerably efficiency index from 81/4≈1.681 to 121/4≈1.861. Illustrations are also included to support the underlying theory.http://dx.doi.org/10.1155/2014/134673
spellingShingle T. Lotfi
K. Mahdiani
Z. Noori
F. Khaksar Haghani
S. Shateyi
On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
The Scientific World Journal
title On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
title_full On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
title_fullStr On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
title_full_unstemmed On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
title_short On a New Three-Step Class of Methods and Its Acceleration for Nonlinear Equations
title_sort on a new three step class of methods and its acceleration for nonlinear equations
url http://dx.doi.org/10.1155/2014/134673
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