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Designing high-order, time-domain numerical solvers for Maxwell's equations

机译:为Maxwell方程设计高阶,时域数值求解器

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Considerable time and energy has been devoted to the design and development of second order, time-domain schemes for Maxwell's equations. Schemes, for example, such as the finite-difference time-domain (FDTD) method have been applied to many diverse problems ranging from radar cross-section analysis to ionospheric radio wave propagation studies. Yet, the second-order nature of the schemes prevents one from obtaining accurate data for geometries or propagation distances that span tens of wavelengths. This property is clearly manifested by frequency domain analyses, which demonstrate the high accumulation of phase and dissipation errors over many time steps. To mitigate the effect of phase and dissipation errors, two key options exist: (1) decrease the size of the discretization cell and the time step or (2) increase the order of accuracy. We consider only option two. In essence, the design of a time domain solver is subdivided into three essential tasks: (1) spatial discretization, (2) temporal discretization and (3) evaluation of the fully discrete system.
机译:Maxwell方程的二阶时域方案的设计和开发投入了大量的时间和精力。例如,诸如差分时域(FDTD)方法之类的方案已应用于许多不同的问题,从雷达横截面分析到电离层无线电波传播研究。然而,该方案的二阶性质阻止了人们获得跨越数十个波长的几何形状或传播距离的准确数据。频域分析清楚地表明了这一特性,它表明了许多时间步长上相位和耗散误差的高度累积。为了减轻相位误差和耗散误差的影响,存在两个关键选项:(1)减小离散化像元的大小和时间步长;或者(2)增加精度的阶数。我们仅考虑选项二。从本质上讲,时域求解器的设计可细分为三个基本任务:(1)空间离散化,(2)时间离散化和(3)完全离散系统的评估。

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