A multi-point iterative method for solving nonlinear equations with optimal order of convergence

In this study, a three-point iterative method for solving nonlinear equations is presented. The purpose is to upgrade a fourth order iterative method by adding one Newton step and using a proportional approximation for last derivative. Per iteration this method needs three evaluations of the functi...

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Main Authors: Nik Long, Nik Mohd Asri, Salimi, Mehdi, Sharifi, Somayeh, Pansera, Bruno Antonio
Format: Article
Language:English
Published: Springer 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72929/
http://psasir.upm.edu.my/id/eprint/72929/1/KUNG.pdf
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author Nik Long, Nik Mohd Asri
Salimi, Mehdi
Sharifi, Somayeh
Pansera, Bruno Antonio
author_facet Nik Long, Nik Mohd Asri
Salimi, Mehdi
Sharifi, Somayeh
Pansera, Bruno Antonio
author_sort Nik Long, Nik Mohd Asri
building UPM Institutional Repository
collection Online Access
description In this study, a three-point iterative method for solving nonlinear equations is presented. The purpose is to upgrade a fourth order iterative method by adding one Newton step and using a proportional approximation for last derivative. Per iteration this method needs three evaluations of the function and one evaluation of its first derivatives. In addition, the efficiency index of the developed method is √4 8 ≈ 1.682 which supports the Kung-Traub conjecture on the optimal order of convergence. Moreover, numerical and graphical comparison of the proposed method with other existing methods with the same order of convergence are given.
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institution Universiti Putra Malaysia
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spelling upm-729292020-11-27T20:11:05Z http://psasir.upm.edu.my/id/eprint/72929/ A multi-point iterative method for solving nonlinear equations with optimal order of convergence Nik Long, Nik Mohd Asri Salimi, Mehdi Sharifi, Somayeh Pansera, Bruno Antonio In this study, a three-point iterative method for solving nonlinear equations is presented. The purpose is to upgrade a fourth order iterative method by adding one Newton step and using a proportional approximation for last derivative. Per iteration this method needs three evaluations of the function and one evaluation of its first derivatives. In addition, the efficiency index of the developed method is √4 8 ≈ 1.682 which supports the Kung-Traub conjecture on the optimal order of convergence. Moreover, numerical and graphical comparison of the proposed method with other existing methods with the same order of convergence are given. Springer 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72929/1/KUNG.pdf Nik Long, Nik Mohd Asri and Salimi, Mehdi and Sharifi, Somayeh and Pansera, Bruno Antonio (2018) A multi-point iterative method for solving nonlinear equations with optimal order of convergence. Japan Journal of Industrial and Applied Mathematics, 35. 497 - 509. ISSN 1868-937X; ESSN: 0916-7005 https://www.researchgate.net/publication/322295964_A_multi-point_iterative_method_for_solving_nonlinear_equations_with_optimal_order_of_convergence/link/5a5bf701aca2727d608a2937/download 10.1007/s13160-017-0294-4
spellingShingle Nik Long, Nik Mohd Asri
Salimi, Mehdi
Sharifi, Somayeh
Pansera, Bruno Antonio
A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title_full A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title_fullStr A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title_full_unstemmed A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title_short A multi-point iterative method for solving nonlinear equations with optimal order of convergence
title_sort multi-point iterative method for solving nonlinear equations with optimal order of convergence
url http://psasir.upm.edu.my/id/eprint/72929/
http://psasir.upm.edu.my/id/eprint/72929/
http://psasir.upm.edu.my/id/eprint/72929/
http://psasir.upm.edu.my/id/eprint/72929/1/KUNG.pdf