A Multigrid Solver Based on Distributive Smoother and Residual Overweighting for Oseen Problems
DOI:
https://doi.org/10.4208/nmtma.2015.w09siAbstract
An efficient multigrid solver for the Oseen problems discretized by Marker and Cell (MAC) scheme on staggered grid is developed in this paper. Least squares commutator distributive Gauss-Seidel (LSC-DGS) relaxation is generalized and developed for Oseen problems. Residual overweighting technique is applied to further improve the performance of the solver and a defect correction method is suggested to improve the accuracy of the discretization. Some numerical results are presented to demonstrate the efficiency and robustness of the proposed solver.
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2020-11-10
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