A Novel n -Point Newton-Type Root-Finding Method of High Computational Efficiency
Xiaofeng Wang
Additional contact information
Xiaofeng Wang: School of Mathematical Sciences, Bohai University, Jinzhou 121000, China
Mathematics, 2022, vol. 10, issue 7, 1-22
Abstract:
A novel Newton-type n -point iterative method with memory is proposed for solving nonlinear equations, which is constructed by the Hermite interpolation. The proposed iterative method with memory reaches the order ( 2 n + 2 n − 1 − 1 + 2 2 n + 1 + 2 2 n − 2 + 2 n + 1 ) / 2 by using n variable parameters. The computational efficiency of the proposed method is higher than that of the existing Newton-type methods with and without memory. To observe the stability of the proposed method, some complex functions are considered under basins of attraction. Basins of attraction show that the proposed method has better stability and requires a lesser number of iterations than various well-known methods. The numerical results support the theoretical results.
Keywords: nonlinear equation; iterative methods; optimal convergence order; stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/7/1144/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/7/1144/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:7:p:1144-:d:785976
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().