2012
DOI: 10.1016/j.jcp.2012.05.037
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HP-Multigrid as Smoother algorithm for higher order discontinuous Galerkin discretizations of advection dominated flows. Part II: Optimization of the Runge–Kutta smoother

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Cited by 21 publications
(15 citation statements)
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“…This analysis provides the operator norm and spectral radius of the error transformation operator of the hp-MGS algorithm. This information is important both to obtain realistic estimates of the multigrid performance and to optimize the multigrid algorithm, which will be discussed in Part II [32]. The analysis of the hp-MGS algorithm is demonstrated for algebraic systems resulting from a fourth order accurate space-time DG discretization of the two-dimensional advection-diffusion equation for various cell Reynolds numbers and mesh aspect ratios.…”
Section: Discussionmentioning
confidence: 99%
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“…This analysis provides the operator norm and spectral radius of the error transformation operator of the hp-MGS algorithm. This information is important both to obtain realistic estimates of the multigrid performance and to optimize the multigrid algorithm, which will be discussed in Part II [32]. The analysis of the hp-MGS algorithm is demonstrated for algebraic systems resulting from a fourth order accurate space-time DG discretization of the two-dimensional advection-diffusion equation for various cell Reynolds numbers and mesh aspect ratios.…”
Section: Discussionmentioning
confidence: 99%
“…The multilevel analysis shows that the new hp-MGS algorithm has excellent convergence rates for a wide range of cell Reynolds numbers, both on uniform and stretched meshes and for steady and time-dependent problems. The hp-MGS(1) and the standard hp-multigrid algorithm do not perform well for high cell Reynolds numbers despite extensive optimization conducted in Part II [32]. At low cell Reynolds numbers, the hp-MGS, hp-MGS(1) and the hp-multigrid algorithms converge well.…”
Section: Discussionmentioning
confidence: 99%
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