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首页> 外文期刊>Journal of Scientific Computing >A Multi-modes Monte Carlo Interior Penalty Discontinuous Galerkin Method for the Time-Harmonic Maxwell's Equations with Random Coefficients
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A Multi-modes Monte Carlo Interior Penalty Discontinuous Galerkin Method for the Time-Harmonic Maxwell's Equations with Random Coefficients

机译:一种多种多样的蒙特卡罗内部惩罚不连续的Galerkin与随机系数的时序麦克斯韦方程式

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摘要

This paper develops an efficient Monte Carlo interior penalty discontinuous Galerkin (IP-DG) method for electromagnetic wave propagation in random media. This method is based on a multi-modes expansion of the solution to the time-harmonic random Maxwell equations. It is shown that each mode function satisfies a Maxwell system with random sources defined recursively. An unconditionally stable IP-DG method is employed to discretize the nearly deterministic Maxwell system and the Monte Carlo method combined with an efficient acceleration strategy is proposed for computing the mode functions and the statistics of the electromagnetic wave. A complete error analysis is established for the proposed multi-modes Monte Carlo IP-DG method. It is proved that the proposed method converges with an optimal order for each of three levels of approximations. Numerical experiments are provided to validate the theoretical results and to gauge the performance of the proposed numerical method and approach.
机译:本文开发了一种高效的蒙特卡罗内部惩罚不连续的Galerkin(IP-DG)方法,用于随机介质中的电磁波传播。该方法基于对时间谐波随机麦克斯韦方程的解决方案的多模式扩展。结果表明,每个模式函数满足具有递归定义的随机源的麦克斯韦系统。采用无条件稳定的IP-DG方法来离散近乎确定的麦克斯韦系统,并且提出了与有效的加速策略结合的蒙特卡罗方法用于计算模式功能和电磁波的统计。建立了完整的错误分析,为提出的多模式蒙特卡罗IP-DG方法。事实证明,所提出的方法会聚有三个近似级别的最佳顺序。提供数值实验以验证理论结果,并衡量提出的数值方法和方法的性能。

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