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Solving Maxwell's Equation in Meta-Materials by a CG-DG Method

Published online by Cambridge University Press:  17 May 2016

Ziqing Xie*
Affiliation:
Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), College of Mathematics and Computer Science, Hunan Normal University, Changsha, Hunan 410081, China
Jiangxing Wang*
Affiliation:
Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), College of Mathematics and Computer Science, Hunan Normal University, Changsha, Hunan 410081, China Beijing Computational Science Research Center, Beijing 100094, China
Bo Wang*
Affiliation:
Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), College of Mathematics and Computer Science, Hunan Normal University, Changsha, Hunan 410081, China
Chuanmiao Chen*
Affiliation:
Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), College of Mathematics and Computer Science, Hunan Normal University, Changsha, Hunan 410081, China
*
*Corresponding author. Email addresses:[email protected] (Z. Xie), [email protected] (J. Wang), [email protected] (B. Wang), [email protected] (C. Chen)
*Corresponding author. Email addresses:[email protected] (Z. Xie), [email protected] (J. Wang), [email protected] (B. Wang), [email protected] (C. Chen)
*Corresponding author. Email addresses:[email protected] (Z. Xie), [email protected] (J. Wang), [email protected] (B. Wang), [email protected] (C. Chen)
*Corresponding author. Email addresses:[email protected] (Z. Xie), [email protected] (J. Wang), [email protected] (B. Wang), [email protected] (C. Chen)
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Abstract

In this paper, an approach combining the DG method in space with CG method in time (CG-DG method) is developed to solve time-dependent Maxwell's equations when meta-materials are involved. Both the unconditional L2-stability and error estimate of order are obtained when polynomials of degree at most r is used for the temporal discretization and at most k for the spatial discretization. Numerical results in 3D are given to validate the theoretical results.

Type
Research Article
Copyright
Copyright © Global-Science Press 2016 

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