时域Maxwell方程的参数POD-Galerkin模型降阶贪心算法

Kun Li, Tingzhu Huang, Liang Li, S. Lanteri
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引用次数: 0

摘要

本文提出了一种基于伽辽金投影的适当正交分解(POD)方法的参数降阶模型,用于求解时域麦克斯韦方程组。特别地,我们引入了一种基于残差的与ROM相关的误差估计。此外,我们还开发了一种在参数空间中进行快照选择的贪婪算法。通过考虑平面波在二维多层非均质介质中的散射,研究了参数化POD-Galerkin ROM的特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parametric POD-Galerkin model order reduction with a greedy algorithm for the time-domain Maxwell's equations
In this work we report a parametric reduced order model (ROM) based on the proper orthogonal decomposition (POD) method with Galerkin projection for solving the system of time-domain Maxwell's equations. In particular, we introduce a residual-based estimation of the error associated with the ROM. Moreover, a greedy algorithm for the snapshot selection in the parameter space is developed. We investigate the behavior of the parametric POD-Galerkin ROM by considering the scattering of a plane wave by a 2-D multi-layer heterogeneous medium.
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