Nepomuceno, Erivelton, Rodrigues Junior, Heitor M., Martins, Samir A.M., Perc, Matjaž and Slavinec, Mitja (2018) Interval computing periodic orbits of maps using a piecewise approach. Applied Mathematics and Computation, 336. pp. 67-75. ISSN 00963003
Preview
EN_interval.pdf
Download (509kB) | Preview
Abstract
Interval arithmetic applied to simulation of dynamical systems has attracted a great deal
of interest in recent years. Much of this research has been carried out in the calculation
of fixed points or low-period windows for nonlinear discrete maps. This study proposes
a novel interval computation based on a piecewise method to calculate periodic orbits
for the logistic map. Using the cobweb plot, three rounding situations have been applied
to a correct outward rounding, as required by interval arithmetic. The proposed method is
compared with results in the literature and with the results obtained by means of the Matlab toolbox Intlab. The comparison is accomplished for nine case studies using the logistic
map. Numerical results explicitly indicate that the proposed method produces intervals
that are substantially narrower than those obtained with the traditional techniques.
Item Type: | Article |
---|---|
Keywords: | Interval arithmetic; periodic orbit; Natural interval extensions; Discrete maps; Dynamical systems; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 16752 |
Identification Number: | 10.1016/j.amc.2018.04.063 |
Depositing User: | Erivelton Nepomuceno |
Date Deposited: | 28 Nov 2022 15:49 |
Journal or Publication Title: | Applied Mathematics and Computation |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/16752 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year