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

@article{Slingerland2011PositionDependentSA,
  title={Position-Dependent Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering for Improving Discontinuous Galerkin Solutions},
  author={Paulien van Slingerland and Jennifer K. Ryan and Cornelis Vuik},
  journal={SIAM J. Scientific Computing},
  year={2011},
  volume={33},
  pages={802-825}
}
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… CONTINUE READING

Citations

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