Research Article
Investigation of numerical time-integrations of Maxwell's equations using the staggered grid spatial discretization
Article first published online: 4 JAN 2005
DOI: 10.1002/jnm.570
Copyright © 2005 John Wiley & Sons, Ltd.
Issue
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International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Volume 18, Issue 2, pages 149–169, March/April 2005
Additional Information
How to Cite
Faragó, I., Horváth, R. and Schilders, W. H. A. (2005), Investigation of numerical time-integrations of Maxwell's equations using the staggered grid spatial discretization. Int. J. Numer. Model., 18: 149–169. doi: 10.1002/jnm.570
Publication History
- Issue published online: 7 FEB 2005
- Article first published online: 4 JAN 2005
- Manuscript Revised: 1 OCT 2004
- Manuscript Accepted: 1 OCT 2004
- Manuscript Received: 6 APR 2004
- Abstract
- References
- Cited By
Keywords:
- Maxwell's equations;
- FDTD method;
- stability;
- unconditional stability
Abstract
The Yee-method is a simple and elegant way of solving the time-dependent Maxwell's equations. On the other hand, this method has some inherent drawbacks too. The main one is that its stability requires a very strict upper bound for the possible time-steps. This is why, during the last decade, the main goal was to construct such methods that are unconditionally stable. This means that the time-step can be chosen based only on accuracy instead of stability considerations. In this paper we give a uniform treatment of methods that use the same spatial staggered grid approximation as the classical Yee-method. Three other numerical methods are discussed: the Namiki–Zheng–Chen–Zhang alternating direction implicit method (NZCZ), the Kole–Figge-de Raedt method (KFR) and a Krylov-space method. All methods are discussed with non-homogeneous material parameters. We show how the existing finite difference numerical methods are based on the approximation of a matrix exponential. With this formulation we prove the unconditional stability of the NZCZ method without any computer algebraic tool. Moreover, we accelerate the Krylov-space method with a skew-symmetric formulation of the semi-discretized equations. Our main goal is to compare the methods from the point of view of the computational speed. This question is investigated in ID numerical tests. Copyright © 2005 John Wiley & Sons, Ltd.

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