New mono- and biaccelerator iterative methods with memory for nonlinear equations
type: Item
instance of: scholarly article
title: New mono- and biaccelerator iterative methods with memory for nonlinear equations
zbMATH Open document ID: 1474.65140
DOI: 10.1155/2014/705674
author: Xianqiang Yang
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: Acceleration of convergence is discussed for some families of iterative methods in order to solve scalar nonlinear equations. In fact, we construct mono- and biparametric methods with memory and study their orders. It is shown that the convergence orders 12 and 14 can be attained using only 4 functional evaluations, which provides high computational efficiency indices. Some illustrations will also be given to reverify the theoretical discussions.
Mathematics Subject Classification ID: 65H05
zbMATH DE Number: 7022912
Wikidata QID: Q59040753
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/705674
OpenAlex ID: W2043360208
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description: scientific article; zbMATH DE number 7022912