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Neumann-Neumann Waveform Relaxation methods for fractional RC circuits

机译:分数RC电路的Neumann-Neumann波形松弛方法

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The Waveform Relaxation (WR) methods are recognized as efficient solvers for large scale circuits and attract a lot of attention in recent years due to their favorable advantages where they are ideally suited for the use of multiple parallel processors for problems with multiple time scales. However, applying classical WR techniques to strongly coupled systems leads to non-uniform convergence. Therefore, more uniform WR methods have been developed. This paper is concerned to generalize the Neumann-Neumann waveform relaxation (NN-WR) method invented recently for time-dependent PDEs to time-fractional circuits which seems to be a promising method in circuit simulations. By choosing the RC circuit in infinite size as the model, we perform a convergence analysis for the NN-WR method and this corresponds to the analysis of this method for PDEs at the semi-discrete level. The NN-WR method contains a free parameter, namely β, which has a significant effect on the convergence rate. For PDEs, the analysis at the space-time continuous level shows β = 1 over 4, while the analysis in this paper shows that, at the semi-discrete level, i.e., for the circuit problem, we can have a better choice which leads to much faster convergence in practical computing. A comparison with the so-called Robin WR is also included.
机译:波形弛豫(WR)方法被公认为是大规模电路的有效求解器,由于其有利的优势而在近年来受到了广泛的关注,其中它们非常适合于使用多个并行处理器处理多个时间尺度的问题。但是,将经典WR技术应用于强耦合系统会导致非均匀收敛。因此,已经开发出更统一的WR方法。本文关注将针对时间相关的PDE的最新发明的Neumann-Neumann波形弛豫(NN-WR)方法推广到时间分数电路,这似乎是电路仿真中的一种有前途的方法。通过选择无穷大的RC电路作为模型,我们对NN-WR方法进行了收敛分析,这对应于半离散级PDE的这种方法的分析。 NN-WR方法包含一个自由参数,即β,对收敛速度有很大影响。对于PDE,时空连续水平的分析显示β= 1大于4,而本文的分析表明,在半离散水平,即对于电路问题,我们可以有一个更好的选择,这导致在实际计算中实现更快的收敛。还包括与所谓的Robin WR的比较。

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