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arXiv 2008.05423math.NAcs.NA
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对流-扩散方程DPG离散的鲁棒拟最优检验范数

A robust quasi-optimal test norm for a DPG discretization of the convection-diffusion equation

Stephen Metcalfe, Siva Nadarajah

摘要:

本文针对对流-扩散方程的超弱形式的不连续Petrov-Galerkin(DPG)离散,提出了一个新的准最优检验范数.我们从理论上证明了所提出的测试范数导致的目标范数和能量范数之间的界限引起的测试范数,这是强大的相对于在溶液中的扩散参数和梯度分量,并具有良好的缩放的痕迹组件。最后,我们用数值实验来证实我们的理论结果。

英文摘要:

In this work, we propose a new quasi-optimal test norm for a discontinuous Petrov-Galerkin (DPG) discretization of the ultra-weak formulation of the convection-diffusion equation. We prove theoretically that the proposed test norm leads to bounds between the target norm and the energy norm induced by the test norm which are robust with respect to the diffusion parameter in the solution and gradient components and have favorable scalings in the trace components. We conclude with numerical experiments to confirm our theoretical results.

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