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Higher-order Multi-dimensional Limiting Process for DG and CPR on Tetrahedral Meshes

机译:四面体网格上DG和CPR的高阶多维限制过程

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The present paper deals with the robust and accurate multi-dimensional limiting processrnfor higher-order discontinuous Galerkin (DG) and correction procedure via reconstructionrn(CPR) methods on triangular and tetrahedral meshes. MLP, which has been originally developedrnin finite volume method (FVM), provides an accurate, robust and efficient oscillation-control mechanismrnin multiple dimensions for linear approximation. This limiting philosophy can be hierarchicallyrnextended into higher-order Pn approximation. The resulting algorithm have been developedrnfor both DG and CPR methods mostly on two-dimensional triangular grids. This method can bernreadily extended three-dimensional space and efficiently implemented with both CPU and GPUrnparallelization. In the final paper, we are going to carry out extensive numerical experiments onrn3-D tetrahedral meshes, explore and compare numerical features of the proposed methods for bothrnDG and CPR.
机译:本文针对三角网格和四面体网格,针对高阶不连续伽勒金(DG)提出了鲁棒且准确的多维极限过程,并通过重构(CPR)方法修正了校正过程。 MLP是最初在有限体积法(FVM)中开发的,它提供了用于多维线性逼近的多维精确,鲁棒和有效的振荡控制机制。可以将这种限制原理分层扩展为高阶Pn逼近。所得算法主要针对二维三角网格上的DG和CPR方法开发。该方法可以很好地扩展三维空间,并且可以通过CPU和GPU并行化高效地实现。在最后的论文中,我们将对rn3-D四面体网格进行广泛的数值实验,探索并比较所提出的rnDG和CPR方法的数值特征。

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