Projects per year
Abstract
In this paper, we investigate the accuracy-enhancement for the discontinuous Galerkin (DG) method for solving one-dimensional nonlinear symmetric systems of hyperbolic conservation laws. For nonlinear equations, the divided difference estimate is an important tool that allows for superconvergence of the post-processed solutions in the local L2-norm. Therefore, we first prove that the L2-norm of the α-th order (1≤ α≤ k+1) divided difference of the DG error with upwind fluxes is of order k+(3-α)/2, provided that the flux Jacobian matrix, f'(u), is symmetric positive definite. Furthermore, using the duality argument, we are able to derive superconvergence estimates of order 2k+(3-α)/2 for the negative-order norm, indicating that some particular compact kernels can be used to extract at least (3k/2+1)-th order superconvergence for nonlinear systems of conservation laws.
Numerical experiments are shown to demonstrate the theoretical results.
Numerical experiments are shown to demonstrate the theoretical results.
Original language | English |
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Pages (from-to) | 125–155 |
Number of pages | 31 |
Journal | IMA Journal of Numerical Analysis |
Volume | 38 |
Issue number | 1 |
Early online date | 20 Feb 2017 |
DOIs | |
Publication status | Published - 25 Jan 2018 |
Keywords
- discontinuous Galerkin
- nonlinear symmetric systems of hyperbolic conservation
- negative-order norm estimates
- post-processing
- Divided difference
Projects
- 2 Finished
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USEFUL - Useful Superconvergence Extraction for Filtering of Underresolved Solutions - Xiong Meng Fellowship
Ryan, J. & Meng, X.
1/09/14 → 31/08/16
Project: Research
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Exploiting Superconvergence in Discontinuous Galerkin Methods for Improved Time-Stepping and Visualization
Ryan, J.
1/02/13 → 31/07/16
Project: Research
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Discontinuous Galerkin methods for nonlinear scalar hyperbolic conservation laws: divided difference estimates and accuracy enhancement
Meng, X. & Ryan, J., May 2017, In: Numerische Mathematik. 136, 1, p. 27–73 47 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile17 Citations (Scopus)15 Downloads (Pure) -
Exploiting Superconvergence Through Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering
Ryan, J., 2015, Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014. Springer, Vol. 105. p. 87-102 16 p. ( Lecture Notes in Computational Science and Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Superconvergent error estimates for position-dependent smoothness-increasing accuracy-conserving (SIAC) post-processing of discontinuous Galerkin solutions
Ji, L., van Slingerland, P., Ryan, J. & Vuik, K., 2014, Mathematics of Computation, 83, p. 2239 2262 p.Research output: Contribution to specialist publication › Article