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Domain Decomposition Methods for a Class of Integro-Partial Differential Equations

机译:一类积分部分微分方程的域分解方法

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This paper deals with the construction of Schwarz Waveform Relaxation (SWR) methods for fractional diffusion-wave equations. SWR methods are a class of domain decomposition algorithms to solve evolution problems in parallel and have been mainly developed and analysed for several kinds of PDEs. We first analyse the convergence behaviour of the classical SWR method applied to fractional diffusion-wave equations, showing that Dirichlet boundary conditions at the artificial interfaces slow down the convergence of the method. Then, we construct optimal SWR methods, by providing the transmission conditions which assure convergence in two iterations.
机译:本文涉及施瓦茨波形松弛(SWR)的分数扩散波方程的方法。 SWR方法是一类域分解算法,以求解进化问题,并主要开发和分析了几种PDE。我们首先分析应用于分数扩散波方程的经典SWR方法的收敛行为,示出了人工界面处的Dirichlet边界条件减慢了该方法的收敛性。然后,通过提供在两个迭代中确保收敛的传输条件来构建最佳的SWR方法。

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