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Asymptotic Analysis for Overlap in Waveform Relaxation Methods for RC Type Circuits

机译:RC型电路波形弛豫方法重叠的渐近分析

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Waveform relaxation (WR) methods are based on partitioning large circuits into sub-circuits which then are solved separately for multiple time steps in so called time windows, and an iteration is used to converge to the global circuit solution in each time window. Classical WR converges quite slowly, especially when long time windows are used. To overcome this issue, optimized WR (OWR) was introduced which is based on optimized transmission conditions that transfer information between the sub-circuits more efficiently than classical WR. We study here for the first time the influence of overlapping sub-circuits in both WR and OWR applied to RC circuits. We give a circuit interpretation of the new transmission conditions in OWR, and derive closed form asymptotic expressions for the circuit elements representing the optimization parameter in OWR. Our analysis shows that the parameter is quite different in the overlapping case, compared to the non-overlapping one. We then show numerically that our optimized choice performs well, also for cases not covered by our analysis. This paper provides a general methodology to derive optimized parameters and can be extended to other circuits or system of differential equations or space-time PDEs.
机译:波形松弛(WR)方法基于将大电路分隔到子电路,然后在所谓的时间窗口中单独解决,该时间步骤分别解决,并且迭代用于在每个时间窗口中收敛到全局电路解决方案。古典WR会收敛得非常缓慢,特别是在使用长时间的窗口时。为了克服这个问题,介绍了优化的WR(OWR),其基于优化的传输条件,其比经典更有效地在子电路之间传输信息。我们首次学习在此处第一次在WR和OWR中应用于RC电路的重叠子电路的影响。我们为OWR中的新传输条件进行了电路解释,并导出了表示OWR中优化参数的电路元件的闭合形式渐近表达式。我们的分析表明,与非重叠的一个相比,参数在重叠案例中是完全不同的。然后,我们在数值上显示了我们的优化选择表现良好,而且对于我们分析未涵盖的情况也是如此。本文提供了派生参数的一般方法,并且可以扩展到其他电路或微分方程或时空PDE的系统。

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