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Algebraic and Discretization Error Estimation by Equilibrated Fluxes for Discontinuous Galerkin Methods on Nonmatching Grids

机译:非匹配网格间断Galerkin方法的平衡通量代数和离散误差估计。

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摘要

We derive a posteriori error estimates for the discontinuous Galerkin method applied to the Poisson equation. We allow for a variable polynomial degree and simplicial meshes with hanging nodes and propose an approach allowing for simple (nonconforming) flux reconstructions in such a setting. We take into account the algebraic error stemming from the inexact solution of the associated linear systems and propose local stopping criteria for iterative algebraic solvers. An algebraic error flux reconstruction is introduced in this respect. Guaranteed reliability and local efficiency are proven. We next propose an adaptive strategy combining both adaptive mesh refinement and adaptive stopping criteria. At last, we detail a form of the estimates avoiding any practical reconstruction of a flux and only working with the approximate solution, which simplifies greatly their evaluation. Numerical experiments illustrate a tight control of the overall error, good prediction of the distribution of both the discretization and algebraic error components, and efficiency of the adaptive strategy.
机译:我们推导了应用于Poisson方程的不连续Galerkin方法的后验误差估计。我们考虑到可变的多项式度数和带有悬挂节点的简单网格,并提出一种在这种情况下允许简单(不合格)通量重构的方法。我们考虑了源于相关线性系统不精确解的代数误差,并为迭代代数求解器提出了局部停止准则。在这方面引入了代数误差通量重建。可靠性和本地效率得到了证明。接下来,我们提出一种结合自适应网格细化和自适应停止准则的自适应策略。最后,我们详细介绍了一种估计形式,它避免了对通量的任何实际重构,而仅使用近似解,从而大大简化了其评估。数值实验说明了对总体误差的严格控制,对离散化和代数误差分量的分布的良好预测以及自适应策略的效率。

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