A family of Kurchatov-type methods and its stability
Alicia Cordero,
Fazlollah Soleymani,
Juan R. Torregrosa and
F. Khaksar Haghani
Applied Mathematics and Computation, 2017, vol. 294, issue C, 264-279
Abstract:
We present a parametric family of iterative methods with memory for solving nonlinear equations, that includes Kurchatov’s scheme, preserving its second-order convergence. By using the tools of multidimensional real dynamics, the stability of members of this family is analyzed on low-degree polynomials, showing that some elements of this class have more stable behavior than the original Kurchatov’s method. We extend this family to multidimensional case and present different numerical tests for several members of the class on nonlinear systems. The numerical results obtained confirm the dynamical analysis made.
Keywords: Iterative methods with memory; Kurchatov’s scheme; Bifurcation diagrams; Chaos; Stability; Nonlinear systems (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300316305811
Full text for ScienceDirect subscribers only
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:eee:apmaco:v:294:y:2017:i:c:p:264-279
DOI: 10.1016/j.amc.2016.09.021
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().