Condon, Marissa, Deaño, Alfredo, Iserles, Arieh, Maczynski, Kornel and Xu, Tao (2009) On numerical methods for highly oscillatory problems in circuit simulation. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 28 (6). pp. 1607-1618. ISSN 0332-1649
Abstract
We propose in this paper a novel technique for an efficient numerical approximation of systems of highly oscillatory ordinary differential equations. In particular, we consider
electronic systems subject to modulated signals. A Filon-type method is proposed for use and compared with traditional trapezoidal rule and Runge–Kutta methods. The Filontype
method is combined with the waveform relaxation technique for nonlinear systems. Preliminary numerical examples highlight the efficacy of this approach.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | circuits; oscillators; |
Subjects: | Mathematics > Differential equations Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering |
Publisher: | Emerald Group Publishing Limited |
Official URL: | http://dx.doi.org/10.1108/03321640910999897 |
Copyright Information: | © 2009 Emerald Group Publishing Limited This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. - See more at: http://www.emeraldgrouppublishing.com/authors/writing/author_rights.htm#sthash.CY1QqNe3.dpuf |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland, SFI 05/IN.1/I18 |
ID Code: | 15245 |
Deposited On: | 23 Feb 2010 14:41 by DORAS Administrator . Last Modified 19 Jul 2018 14:50 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
423kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record