SIAM Journal on Scientific Computing · 2016 · 57 citations · 22 references
ComputingComputational EngineeringPhysicsComputational Fluid DynamicsFinite Element MethodsFluid DynamicsBoltzmann Transport EquationConvergence AnalysisFinite Element DiscretizationFinite Element FormulationBoltzmann EquationsBoltzmann Transport TheoryDiscontinuous Galerkin FormulationGalerkin DiscretizationKinetic Transport EquationsSpatial Discretization SchemesStorage Cost EffectsTransport Equations
In this paper, we develop a sparse grid discontinuous Galerkin (DG) scheme for transport equations and apply it to kinetic simulations. The method uses the weak formulations of traditional Runge--Kutta DG (RKDG) schemes for hyperbolic problems and is proved to be $L^2$ stable and convergent. A major advantage of the scheme lies in its low computational and storage cost due to the employed sparse finite element approximation space. This attractive feature is explored in simulating Vlasov and Boltzmann transport equations. Good performance in accuracy and conservation is verified by numerical tests in up to four dimensions.
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Hans‐Joachim Bungartz, Michael Griebel · Acta Numerica · 2004 · 1K citations
Computing, Computational Engineering, Computational Fluid Dynamics +14