2014
DOI: 10.1016/j.jcp.2013.11.023
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On the accuracy and efficiency of discontinuous Galerkin, spectral difference and correction procedure via reconstruction methods

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Cited by 103 publications
(54 citation statements)
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“…Great efforts have been paid on the development of compact schemes in the past decades [21]. Two main representatives of compact schemes are the Discontinuous Galerkin (DG) method [3] and correction procedure via reconstruction (CPR) [29], with very restricted CFL number in the determination of time step. Most of those methods use Riemann solvers or approximate Riemann solvers for the flux evaluation, and adopt the Runge-Kutta time stepping for the time accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Great efforts have been paid on the development of compact schemes in the past decades [21]. Two main representatives of compact schemes are the Discontinuous Galerkin (DG) method [3] and correction procedure via reconstruction (CPR) [29], with very restricted CFL number in the determination of time step. Most of those methods use Riemann solvers or approximate Riemann solvers for the flux evaluation, and adopt the Runge-Kutta time stepping for the time accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…The latter method combines high order accuracy with the ability to handle complex geometries described by hybrid unstructured meshes by incorporating a minimal computational stencil. However, the computational efficiency of this method (alongside the spectral volume [8,10] and spectral difference [8,11,12] methods is generally believed to be inferior to more commonly used methods as the Finite Differences (FD) and the Finite Volume (FV) [13,14] methods. Solution adaptive refinement strategies of h/p-type can reduce the computational time for high resolution simulations of complex flows, using various methods, including the DG method, without compromising numerical accuracy [15,16,17,18,19,20].…”
Section: Introductionmentioning
confidence: 99%
“…The discontinuous Galerkin (DG), 2-7 the spectral volume (SV), 4,8 and the spectral difference 4,9,10 methods have shown promise for high resolution computations of complex flows because they have a compact stencil, and retain the design order of accuracy even for meshes of moderate quality that would often result from grid generation over complex three dimensional configurations. The potential applications of these methods for high resolution simulations of practical flow problems can further be enhanced with the use of mixed-type meshes and solution adaptive schemes.…”
Section: Introductionmentioning
confidence: 99%
“…There are several implementations of the DG methods depending on how the degrees-of-freedom are chosen. 10 The nodal DG implementation with Lagrange polynomial basis functions 31, 32 and the more effective extension of Hesthaven and Worburton 33,34 are the most efficient. The filtering approach was tested with nodal bases 35 however it was found that the extension to unstructured meshes was not a trivial task.…”
Section: Introductionmentioning
confidence: 99%