2010
DOI: 10.1007/978-3-642-03707-8_18
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Multigrid Optimization for Space-Time Discontinuous Galerkin Discretizations of Advection Dominated Flows

Abstract: The goal of this research is to optimize multigrid methods for higher order accurate space-time discontinuous Galerkin discretizations. The main analysis tool is discrete Fourier analysis of two-and three-level multigrid algorithms. This gives the spectral radius of the error transformation operator which predicts the asymptotic rate of convergence of the multigrid algorithm. In the optimization process we therefore choose to minimize the spectral radius of the error transformation operator. We specifically co… Show more

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Cited by 5 publications
(6 citation statements)
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“…In particular, Runge-Kutta methods can be developed into efficient multigrid smoothers when they are used as pseudo-time integrators, which was originally proposed in [13], see also [20]. Since time-accuracy is not important in pseudo-time significant freedom is available to optimize Runge-Kutta smoothers for good multigrid performance [16,25,29].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…In particular, Runge-Kutta methods can be developed into efficient multigrid smoothers when they are used as pseudo-time integrators, which was originally proposed in [13], see also [20]. Since time-accuracy is not important in pseudo-time significant freedom is available to optimize Runge-Kutta smoothers for good multigrid performance [16,25,29].…”
Section: Introductionmentioning
confidence: 99%
“…For problems containing boundary layers line smoothers are generally necessary to deal with large aspect ratio meshes [8,26]. Explicit and (semi)-implicit time integration methods have also been used as smoothers [2,3,16,25]. In particular, Runge-Kutta methods can be developed into efficient multigrid smoothers when they are used as pseudo-time integrators, which was originally proposed in [13], see also [20].…”
Section: Introductionmentioning
confidence: 99%
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“…The remaining coefficients can be chosen such that the multigrid performance for a selected class of problems is optimal. In [7,12,15] we performed this optimization for explicit Runge-Kutta methods. In this section we will discuss the optimization of the semi-implicit Runge-Kutta smoother used in the hp-MGS multigrid algorithm.…”
Section: Multigrid Optimizationmentioning
confidence: 99%
“…In order to improve the computational efficiency of DG methods, a considerable research effort has been recently devoted to devise more efficient computational strategies for the construction of DG space discretization operators [6][7][8] and for the integration in time of the space discretized DG equations, by means of implicit time discretization schemes [9][10][11][12] and multigrid (MG) solution strategies [13][14][15][16][17][18][19][20][21][22][23][24][25], both in the h and p variants.…”
mentioning
confidence: 99%