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An improved multigrid algorithm for n-irregular meshes with subspace correction smoother

机译:带有子空间校正平滑器的n不规则网格的改进多网格算法

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We propose a multigrid V-cycle algorithm for locally refined meshes with arbitrary hanging node configurations. Unlike existing algorithms that perform smoothing only on a subspace of the multigrid space, we adopt a global smoothing strategy at each multigrid level. This guarantees that an arbitrary improvement of the convergence bound can be obtained when increasing the number of smoothing iterations. When smoothing on a subspace, improvement can be obtained only up to a saturation value. The smoothing process we adopt is of successive subspace correction (SSC) type. The subspaces involved in the subspace decomposition of the multigrid space are chosen according to a multilevel strategy. This choice provides an easy way to deal with the hanging nodes generated by the local refinement procedure that allows the use of standard finite element codes. We present numerical results to highlight how the proposed algorithm has better convergence properties than local smoothing strategies that have a comparable computational complexity. Moreover, the numerical tests show that our method outperforms local smoothing approaches for Poisson's equation with discontinuous coefficients, where the solution is in H-1, but not in H-2. (C) 2018 Elsevier Ltd. All rights reserved.
机译:我们针对具有任意悬挂节点配置的局部精炼网格提出了多网格V循环算法。与仅在多网格空间的子空间上执行平滑的现有算法不同,我们在每个多网格级别采用全局平滑策略。这保证了在增加平滑迭代次数时可以获得对收敛边界的任意改善。在子空间上进行平滑处理时,只能达到饱和值才能获得改善。我们采用的平滑过程是连续子空间校正(SSC)类型的。根据多级策略选择参与多网格空间的子空间分解的子空间。这种选择提供了一种简单的方法来处理由局部细化过程生成的悬挂节点,该局部细化过程允许使用标准有限元代码。我们提出数值结果,以突出所提出的算法与具有可比性计算复杂度的局部平滑策略相比,具有更好的收敛性。此外,数值测试表明,我们的方法优于具有不连续系数的泊松方程的局部平滑方法,该方法的解在H-1中,但在H-2中不成立。 (C)2018 Elsevier Ltd.保留所有权利。

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