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Convergence Analysis of Schwarz Waveform Relaxation for Nonlocal Diffusion Problems

机译:施瓦茨波形松弛对非局部扩散问题的收敛性分析

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Diffusion equations with Riemann–Liouville fractional derivatives are Volterra integro-partial differential equations with weakly singular kernels and present fundamental challenges for numerical computation. In this paper, we make a convergence analysis of the Schwarz waveform relaxation (SWR) algorithms with Robin transmission conditions (TCs) for these problems. We focus on deriving good choice of the parameter involved in the Robin TCs, at the continuous and fully discretized level. Particularly, at the space-time continuous level, we show that the derived Robin parameter is much better than the one predicted by the well-understood equioscillation principle. At the fully discretized level, the problem of determining a good Robin parameter is studied in the convolution quadrature framework, which permits us to precisely capture the effects of different temporal discretization methods on the convergence rate of the SWR algorithms. The results obtained in this paper will be preliminary preparations for our further study of the SWR algorithms for integro-partial differential equations.
机译:黎曼-刘维分数衍生物扩散方程是Volterra积分-偏微分方程弱奇异内核和数值计算本基本挑战。在本文中,我们提出施瓦茨波形松弛(SWR)与罗宾传输条件(TCS)对这些问题的算法的收敛分析。我们专注于获得不错的选择参与罗宾台风参数,在连续和离散完全水平。特别是,在时空连续层面,我们表明,衍生罗宾参数大大优于一个被很好地理解equioscillation原理预测。在充分离散化水平,确定好罗宾参数的问题,卷积积分框架,使我们能够准确地捕捉上的SWR算法的收敛速度不同的时间离散化方法的效果进行了研究。本文所获得的结果将是我们的SWR算法积分 - 偏微分方程进一步研究初步准备。

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