Developing a new family of Newton-Secant method with memory based on a weight function
type: Item
instance of: scholarly article
title: Developing a new family of Newton-Secant method with memory based on a weight function
zbMATH Open document ID: 1382.65133
author: Mehdi Salimi
author: Somayeh Sharifi
author: Massimiliano Ferrara
author: Nik Mohd Asri Nik Long
published in: S\(\vec{\text{e}}\)MA Journal
publication date: 2018-01-12T00:00:00Z
review text: A new class of Newton-secant methods with memory is presented and the convergence order of the methods is estimated. Numerical comparison with other optimal methods shows that these classes are alternative to the optimal methods. Results of many numerical experiments are given.
Mathematics Subject Classification ID: 65H05
zbMATH DE Number: 6825227
zbMATH Keywords: multi-point method
zbMATH Keywords: nonlinear equations
zbMATH Keywords: method with memory
zbMATH Keywords: R-order of convergence
zbMATH Keywords: Newton-secant methods
zbMATH Keywords: numerical experiments
reviewed by: Anton Iliev
MaRDI profile type: Publication
full work available at URL: s40324-016-0097-6
OpenAlex ID: W2539507477
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DOI: 10.1007/S40324-016-0097-6
description: scientific article; zbMATH DE number 6825227