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Smoothing and Coarse Grid Approximation Properties of Multigrid Methods

机译:多重网格方法的平滑和粗糙网格逼近性质

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Smoothing processes, which are used in multigrid methods, are analyzed with the smoothing analysis of Brandt. The smoothing processes are applied to model problems: the Poisson, anisotropic diffusion and convection diffusion equations. An estimate is given of the Galerkin coarse grid approximation. These and other theoretical results, in comparison with experiments with multigrid methods, are remarked on. Numerical experiments show that these methods are efficient and robust in the sense that they do not need to be adapted to the problem at hand.

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