2019
DOI: 10.4208/cicp.oa-2017-0186
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Reconstructed Discontinuous Galerkin Methods for Hyperbolic Diffusion Equations on Unstructured Grids

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Cited by 15 publications
(30 citation statements)
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“…The extension to curvilinear coordinates using WCNS [51] and field aligned unstructured meshes by discontinuous galerkin methods [23,52] is currently ongoing and the results will be discussed elsewhere.…”
Section: Discussionmentioning
confidence: 99%
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“…The extension to curvilinear coordinates using WCNS [51] and field aligned unstructured meshes by discontinuous galerkin methods [23,52] is currently ongoing and the results will be discussed elsewhere.…”
Section: Discussionmentioning
confidence: 99%
“…This radical approach has been shown to offer several advantages over conventional methods, such as accelerated convergence for steady state solution and higher order of accuracy for both primary and gradient variables, as demonstrated for diffusion [16], the incompressible/compressible Navier-Stokes equations [17,18], third-order dispersion equations [19], an incompressible magnetohydrodynamics model [20], an elliptic distance-function model [21], and so on. The original approach of Nishikawa has been further extended to a constant diffusion tensor by Lou et al [22,23] discretized with the reconstructed discontinuous Galerkin scheme (rDG). The hyperbolic approach has also been implemented for an anisotropic diffusion equation, based on highorder finite-volume schemes in Ref.…”
Section: Introductionmentioning
confidence: 99%
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“…2, uniform structured grids, nonuniform unstructured grids together with a specially designed heterogeneous grids are used in this test case and grid convergence studies based on the three different types of grids are performed. It should be pointed out that the heterogeneous grids are specially designed, inspired by the work [31], as this type grids can be really effective in testing the performance of the viscous discretization under the demanding situations.…”
Section: Numerical Examples 41 a Model Problem With A Source Termmentioning
confidence: 99%