Matches in SemOpenAlex for { <https://semopenalex.org/work/W2810842845> ?p ?o ?g. }
- W2810842845 endingPage "446" @default.
- W2810842845 startingPage "427" @default.
- W2810842845 abstract "The spectral element method (SEM) is a mimetic finite element method with several properties that make it a desirable choice for numerical modeling. Although the linear dispersion properties of this method have been analyzed extensively for the case of the 1D inviscid advection equation, practical implementations of the SEM frequently employ hyperdiffusion for stabilization. As argued in this paper, hyperdiffusion has a pronounced impact on the accuracy of the discrete wave modes and the dispersive properties of the SEM. When applied with an appropriately large coefficient, hyperdiffusion is effective at removing the spectral gap and improving the stability of the 1D advection equation. This study also considers the SEM as applied to the 2D linearized shallow-water equations, where hyperdiffusion in the form of scalar diffusion, divergence damping, and vorticity damping are analyzed. To the extent possible, guidance on the choice of hyperdiffusion coefficients is provided. A brief discussion of the comparative impact of local element filtering is included." @default.
- W2810842845 created "2018-07-10" @default.
- W2810842845 creator A5003948646 @default.
- W2810842845 creator A5008958944 @default.
- W2810842845 creator A5022737320 @default.
- W2810842845 creator A5042712690 @default.
- W2810842845 date "2018-12-01" @default.
- W2810842845 modified "2023-09-27" @default.
- W2810842845 title "Impact and importance of hyperdiffusion on the spectral element method: A linear dispersion analysis" @default.
- W2810842845 cites W1529748303 @default.
- W2810842845 cites W1578649609 @default.
- W2810842845 cites W1685070590 @default.
- W2810842845 cites W1952151752 @default.
- W2810842845 cites W1965117918 @default.
- W2810842845 cites W1965222034 @default.
- W2810842845 cites W1965490868 @default.
- W2810842845 cites W1967001833 @default.
- W2810842845 cites W1967633238 @default.
- W2810842845 cites W1968395585 @default.
- W2810842845 cites W1974404496 @default.
- W2810842845 cites W1975229625 @default.
- W2810842845 cites W1985438955 @default.
- W2810842845 cites W1986352825 @default.
- W2810842845 cites W2002054237 @default.
- W2810842845 cites W2009700688 @default.
- W2810842845 cites W2027709440 @default.
- W2810842845 cites W2031070610 @default.
- W2810842845 cites W2031759133 @default.
- W2810842845 cites W2035908552 @default.
- W2810842845 cites W2047352485 @default.
- W2810842845 cites W2049504145 @default.
- W2810842845 cites W2053810476 @default.
- W2810842845 cites W2064266313 @default.
- W2810842845 cites W2070281201 @default.
- W2810842845 cites W2076690115 @default.
- W2810842845 cites W2078045751 @default.
- W2810842845 cites W2081990808 @default.
- W2810842845 cites W2086195196 @default.
- W2810842845 cites W2109356213 @default.
- W2810842845 cites W2126516819 @default.
- W2810842845 cites W2127616082 @default.
- W2810842845 cites W2127900800 @default.
- W2810842845 cites W2134281251 @default.
- W2810842845 cites W2138153970 @default.
- W2810842845 cites W2145531373 @default.
- W2810842845 cites W2158880811 @default.
- W2810842845 cites W2295366667 @default.
- W2810842845 cites W2623018179 @default.
- W2810842845 cites W2806863959 @default.
- W2810842845 doi "https://doi.org/10.1016/j.jcp.2018.06.035" @default.
- W2810842845 hasPublicationYear "2018" @default.
- W2810842845 type Work @default.
- W2810842845 sameAs 2810842845 @default.
- W2810842845 citedByCount "16" @default.
- W2810842845 countsByYear W28108428452019 @default.
- W2810842845 countsByYear W28108428452020 @default.
- W2810842845 countsByYear W28108428452021 @default.
- W2810842845 countsByYear W28108428452022 @default.
- W2810842845 crossrefType "journal-article" @default.
- W2810842845 hasAuthorship W2810842845A5003948646 @default.
- W2810842845 hasAuthorship W2810842845A5008958944 @default.
- W2810842845 hasAuthorship W2810842845A5022737320 @default.
- W2810842845 hasAuthorship W2810842845A5042712690 @default.
- W2810842845 hasBestOaLocation W28108428451 @default.
- W2810842845 hasConcept C112972136 @default.
- W2810842845 hasConcept C119857082 @default.
- W2810842845 hasConcept C120665830 @default.
- W2810842845 hasConcept C121332964 @default.
- W2810842845 hasConcept C134306372 @default.
- W2810842845 hasConcept C135628077 @default.
- W2810842845 hasConcept C138885662 @default.
- W2810842845 hasConcept C140820882 @default.
- W2810842845 hasConcept C144468803 @default.
- W2810842845 hasConcept C177562468 @default.
- W2810842845 hasConcept C200114574 @default.
- W2810842845 hasConcept C207390915 @default.
- W2810842845 hasConcept C23463724 @default.
- W2810842845 hasConcept C2524010 @default.
- W2810842845 hasConcept C28826006 @default.
- W2810842845 hasConcept C33923547 @default.
- W2810842845 hasConcept C38961997 @default.
- W2810842845 hasConcept C41008148 @default.
- W2810842845 hasConcept C41895202 @default.
- W2810842845 hasConcept C5072599 @default.
- W2810842845 hasConcept C57691317 @default.
- W2810842845 hasConcept C57879066 @default.
- W2810842845 hasConcept C86252789 @default.
- W2810842845 hasConcept C97355855 @default.
- W2810842845 hasConceptScore W2810842845C112972136 @default.
- W2810842845 hasConceptScore W2810842845C119857082 @default.
- W2810842845 hasConceptScore W2810842845C120665830 @default.
- W2810842845 hasConceptScore W2810842845C121332964 @default.
- W2810842845 hasConceptScore W2810842845C134306372 @default.
- W2810842845 hasConceptScore W2810842845C135628077 @default.
- W2810842845 hasConceptScore W2810842845C138885662 @default.
- W2810842845 hasConceptScore W2810842845C140820882 @default.
- W2810842845 hasConceptScore W2810842845C144468803 @default.
- W2810842845 hasConceptScore W2810842845C177562468 @default.