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An EXCMG accelerated multiscale multigrid computation for 3D Poisson equation

机译:用于3D泊松方程的EXCMG加速多尺度多网格计算

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Multiscale multigrid (MSMG) method is an effective computational framework for efficiently computing high accuracy solutions for elliptic partial differential equations. In the current MSMG method, compared to the CPU cost on computing sixth-order solutions by applying extrapolation and other techniques on two fourth-order solutions from different scales grids, much more CPU time is spent on computing fourth-order solutions themselves on coarse and fine grids, particularly for high-dimensional problems. Here we propose to embed extrapolation cascadic multigrid (EXCMG) method into the MSMG framework to accelerate the whole process. Numerical results on 3D Poisson equations show that the new EXCMG-MSMG method is more efficient than the existing MSMG method and the EXCMG method for sixth-order solution computation. (C) 2018 Elsevier Ltd. All rights reserved.
机译:多尺度多重网格(MSMG)方法是有效计算椭圆偏微分方程高精度解决方案的有效计算框架。在当前的MSMG方法中,与通过在不同比例网格上的两个四阶解决方案上应用外推法和其他技术来计算六阶解决方案的CPU成本相比,在粗略计算和细网格,特别是对于高维问题。在这里,我们建议将外推级联多网格(EXCMG)方法嵌入MSMG框架中,以加快整个过程。 3D Poisson方程的数值结果表明,新的EXCMG-MSMG方法比现有的MSMG方法和EXCMG方法更有效地进行六阶解计算。 (C)2018 Elsevier Ltd.保留所有权利。

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