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A Multigrid Solver based on Distributive Smoother and Residual Overweighting for Oseen Problems

Published online by Cambridge University Press:  28 May 2015

Long Chen*
Affiliation:
Department of Mathematics, University of California at Irvine, Irvine, CA, 92697, USA
Xiaozhe Hu
Affiliation:
Department of Mathematics, Tufts University, Medford, MA 02155
Ming Wang
Affiliation:
LMAM, School of Mathematical Sciences, Peking University, Beijing 100871, China
Jinchao Xu
Affiliation:
Department of Mathematics, Pennsylvania State University, University Park, PA 16801, USA
*
*Email addresses: [email protected] (Long Chen), [email protected] (Xiaozhe Hu), [email protected] (Ming Wang), [email protected] (Jinchao Xu)
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Abstract

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.

Type
Research Article
Copyright
Copyright © Global-Science Press 2015 

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