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Mesh Adaptation and Optimization for Discontinuous Galerkin Methods Using a Continuous Mesh Model

机译:使用连续网格模型的不连续Galerkin方法的网格适应和优化

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We present a method for anisotropic mesh adaptation and optimization for high-order Discontinuous Galerkin (DG) Schemes. Given the total number of degrees of freedom, we propose a metric-based method, which aims to globally optimize the mesh with respect to the L~q norm of the error. This is done by minimizing a suitable error model associated with the approximation space. Advantages of using a metric based method in this context are several. Firstly, it facilitates changing and manipulating the mesh in a general non-isotropic way. Secondly, defining a suitable continuous interpolation operator allows us to use an analytic optimization framework which operates on the metric field, rather than the discrete mesh. We present the formulation of the method as well as numerical experiments in the context of convection-diffusion systems.
机译:我们提出了一种用于各向异性网格适应和优化的高阶不连续Galerkin(DG)方案的方法。鉴于自由度的总数,我们提出了一种基于度量的方法,其旨在将网格全局优化到误差的L〜Q标准。这是通过最小化与近似空间相关的合适的误差模型来完成。在此上下文中使用基于度量的方法的优点是几个。首先,它有助于以一般的非各向同性方式改变和操纵网格。其次,定义合适的连续插值运算符允许我们使用在度量字段上运行的分析优化框架,而不是离散网格。我们介绍了对流扩散系统的背景下的方法的制定以及数值实验。

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