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Volume 11, Issue 1
Maxwell Solutions in Media with Multiple Random Interfaces

C.-Y. Jung, B. Kwon, A. Mahalov & T. B. Nguyen

Int. J. Numer. Anal. Mod., 11 (2014), pp. 193-212.

Published online: 2014-11

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  • Abstract

A hybrid operator splitting method is developed for computations of two-dimensional transverse magnetic Maxwell equations in media with multiple random interfaces. By projecting the solutions into the random space using the polynomial chaos (PC) projection method, the deterministic and random parts of the solutions are solved separately.
There are two independent stages in the algorithm: the Yee scheme with domain decomposition implemented on a staggered grid for the deterministic part and the Monte Carlo sampling in the post-processing stage. These two stages of the algorithm are subject of computational studies. A parallel implementation is proposed for which the computational cost grows linearly with the number of random interfaces. Output statistics of Maxwell solutions are obtained including means, variance and time evolution of cumulative distribution functions (CDF). The computational results are presented for several configurations of domains with random interfaces.
The novelty of this article lies in using level set functions to characterize the random interfaces and, under reasonable assumptions on the random interfaces (see Figure 1), the dimensionality issue from the PC expansions is resolved (see Sections 1.1.2 and 1.2).

  • AMS Subject Headings

11K45, 65C20, 65C30, 82B31

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COPYRIGHT: © Global Science Press

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@Article{IJNAM-11-193, author = {Jung , C.-Y.Kwon , B.Mahalov , A. and Nguyen , T. B.}, title = {Maxwell Solutions in Media with Multiple Random Interfaces}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2014}, volume = {11}, number = {1}, pages = {193--212}, abstract = {

A hybrid operator splitting method is developed for computations of two-dimensional transverse magnetic Maxwell equations in media with multiple random interfaces. By projecting the solutions into the random space using the polynomial chaos (PC) projection method, the deterministic and random parts of the solutions are solved separately.
There are two independent stages in the algorithm: the Yee scheme with domain decomposition implemented on a staggered grid for the deterministic part and the Monte Carlo sampling in the post-processing stage. These two stages of the algorithm are subject of computational studies. A parallel implementation is proposed for which the computational cost grows linearly with the number of random interfaces. Output statistics of Maxwell solutions are obtained including means, variance and time evolution of cumulative distribution functions (CDF). The computational results are presented for several configurations of domains with random interfaces.
The novelty of this article lies in using level set functions to characterize the random interfaces and, under reasonable assumptions on the random interfaces (see Figure 1), the dimensionality issue from the PC expansions is resolved (see Sections 1.1.2 and 1.2).

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/521.html} }
TY - JOUR T1 - Maxwell Solutions in Media with Multiple Random Interfaces AU - Jung , C.-Y. AU - Kwon , B. AU - Mahalov , A. AU - Nguyen , T. B. JO - International Journal of Numerical Analysis and Modeling VL - 1 SP - 193 EP - 212 PY - 2014 DA - 2014/11 SN - 11 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/521.html KW - Maxwell Equations, Evolution of probability distribution, Monte Carlo simulation, Stochastic partial differential equation, random media, random interface, Polynomial chaos. AB -

A hybrid operator splitting method is developed for computations of two-dimensional transverse magnetic Maxwell equations in media with multiple random interfaces. By projecting the solutions into the random space using the polynomial chaos (PC) projection method, the deterministic and random parts of the solutions are solved separately.
There are two independent stages in the algorithm: the Yee scheme with domain decomposition implemented on a staggered grid for the deterministic part and the Monte Carlo sampling in the post-processing stage. These two stages of the algorithm are subject of computational studies. A parallel implementation is proposed for which the computational cost grows linearly with the number of random interfaces. Output statistics of Maxwell solutions are obtained including means, variance and time evolution of cumulative distribution functions (CDF). The computational results are presented for several configurations of domains with random interfaces.
The novelty of this article lies in using level set functions to characterize the random interfaces and, under reasonable assumptions on the random interfaces (see Figure 1), the dimensionality issue from the PC expansions is resolved (see Sections 1.1.2 and 1.2).

Jung , C.-Y.Kwon , B.Mahalov , A. and Nguyen , T. B.. (2014). Maxwell Solutions in Media with Multiple Random Interfaces. International Journal of Numerical Analysis and Modeling. 11 (1). 193-212. doi:
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