A two-point eighth-order method based on the weight function for solving nonlinear equations

In this work, we have designed a family of with-memory methods with eighth-order convergence. We have used the weight function technique. The proposed methods have three parameters. Three self-accelerating parameters are calculated in each iterative step employing only information from the current...

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Main Author: Vali Torkashvand
Format: Article
Language:English
Published: Publishing House of the Romanian Academy 2021-11-01
Series:Journal of Numerical Analysis and Approximation Theory
Subjects:
Online Access:https://ictp.acad.ro/jnaat/journal/article/view/1230
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author Vali Torkashvand
author_facet Vali Torkashvand
author_sort Vali Torkashvand
collection DOAJ
description In this work, we have designed a family of with-memory methods with eighth-order convergence. We have used the weight function technique. The proposed methods have three parameters. Three self-accelerating parameters are calculated in each iterative step employing only information from the current and all previous iteration. Numerical experiments are carried out to demonstrate the convergence and the e?ciency of our iterative method.
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spelling doaj.art-49776142336644edb238801c6994c32c2023-07-30T12:30:16ZengPublishing House of the Romanian AcademyJournal of Numerical Analysis and Approximation Theory2457-67942501-059X2021-11-01501A two-point eighth-order method based on the weight function for solving nonlinear equationsVali Torkashvand0Young Researchers and Elite Club, Shahr-e-Qods Branch, Islamic Azad University, Islamic Republic of Iran In this work, we have designed a family of with-memory methods with eighth-order convergence. We have used the weight function technique. The proposed methods have three parameters. Three self-accelerating parameters are calculated in each iterative step employing only information from the current and all previous iteration. Numerical experiments are carried out to demonstrate the convergence and the e?ciency of our iterative method. https://ictp.acad.ro/jnaat/journal/article/view/1230Method with memoryAccelerator parameterWeight functionNewton’s interpolatory polynomialOrder of convergencenonlinear equations in R
spellingShingle Vali Torkashvand
A two-point eighth-order method based on the weight function for solving nonlinear equations
Journal of Numerical Analysis and Approximation Theory
Method with memory
Accelerator parameter
Weight function
Newton’s interpolatory polynomial
Order of convergence
nonlinear equations in R
title A two-point eighth-order method based on the weight function for solving nonlinear equations
title_full A two-point eighth-order method based on the weight function for solving nonlinear equations
title_fullStr A two-point eighth-order method based on the weight function for solving nonlinear equations
title_full_unstemmed A two-point eighth-order method based on the weight function for solving nonlinear equations
title_short A two-point eighth-order method based on the weight function for solving nonlinear equations
title_sort two point eighth order method based on the weight function for solving nonlinear equations
topic Method with memory
Accelerator parameter
Weight function
Newton’s interpolatory polynomial
Order of convergence
nonlinear equations in R
url https://ictp.acad.ro/jnaat/journal/article/view/1230
work_keys_str_mv AT valitorkashvand atwopointeighthordermethodbasedontheweightfunctionforsolvingnonlinearequations
AT valitorkashvand twopointeighthordermethodbasedontheweightfunctionforsolvingnonlinearequations