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Discontinuous Galerkin Methods with Mesh Adaptivity

机译:网格自适应的不连续Galerkin方法

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The discontinuous Galerkin (DG) methods have been proved very powerful for solving many practical problems such as the nonlinear conservation laws and Maxwell equations. Since the solutions of these problems may be discontinuous, it is natural for them to be approximated in a discontinuous finite dimensional space. The moving mesh methods involve the solution of the underlying PDE for the physical problem in conjunction with a so-called moving mesh PDE for the mesh itself. The methods keep the total number of grid points unchanged, and can cluster more grid points to areas with singularities or large solution gradients. However, the mesh obtained by using the moving mesh methods may be very irregular. Since there are no continuity requirement among the elements for the DG methods, the geometry of each element can be very flexible, and as a result the DG methods can handle very irregular meshes. It is therefore natural to use the DG methods as the PDE evolution algorithms. In this talk, we will describe how to combine the DG methods with the moving mesh techniques. Several practical issues such as the choice of the monitor functions and the solution interpolation will be carefully investigated. The resulting scheme will be applied to solving nonlinear system of hyperbolic equations.
机译:事实证明,不连续的Galerkin(DG)方法对于解决许多实际问题(例如非线性守恒律和Maxwell方程)非常有效。由于这些问题的解决方案可能是不连续的,因此在不连续的有限维空间中将它们近似是很自然的。移动网格方法涉及针对物理问题的基础PDE的解决方案,以及针对网格本身的所谓移动网格PDE的解决方案。该方法使网格点的总数保持不变,并且可以将更多网格点聚类到具有奇异性或较大求解梯度的区域。但是,通过使用移动网格方法获得的网格可能非常不规则。由于DG方法的元素之间没有连续性要求,因此每个元素的几何形状可以非常灵活,因此DG方法可以处理非常不规则的网格。因此,将DG方法用作PDE演化算法是很自然的。在本次演讲中,我们将描述如何将DG方法与移动网格技术相结合。我们将仔细研究一些实际问题,例如监控器功能的选择和解决方案插值。所得方案将应用于求解双曲型方程的非线性系统。

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