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Position-Dependent Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering for Improving Discontinuous Galerkin Solutions

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Position-Dependent Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering for Improving Discontinuous Galerkin Solutions
Position-dependent smoothness-increasing accuracy-conserving (SIAC) filtering is a promising technique not only in improving the order of the numerical solution obtained by a discontinuous Galerkin (DG) method but also in increasing the smoothness of the field and improving the magnitude of the errors. This was initially established as an accuracy enhancement technique by Cockburn et al. for linear hyperbolic equations to handle smooth solutions [Math. Comp., 72 (2003), pp. 577–606]. By implementing this technique, the quality of the solution can be improved from order k + 1 to order 2k + 1 in the L2-norm. Ryan and Shu used these ideas to extend this technique to be able to handle postprocessing near boundaries as well as discontinuities [Methods Appl. Anal., 10 (2003), pp. 295–307]. However, this presented difficulties as the resulting error had a stair-stepping effect and the errors themselves were not improved over those of the DG solution unless the mesh was suitably refine...
Paulien van Slingerland, Jennifer K. Ryan, C. Vuik
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where SIAMSC
Authors Paulien van Slingerland, Jennifer K. Ryan, C. Vuik
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