SIAM Journal on Numerical Analysis · 2013 · 98 citations · 10 references
ComputingComputational EngineeringComputational Fluid DynamicsComputational Heat TransferFluid DynamicsBoundary ConditionsConvergence AnalysisError EstimationRobust OptimizationVariational FormulationWeak FormulationAdjoint FormulationBilinear FormsConvection-diffusionConvection-diffusion ModelingDiscontinuous Galerkin FormulationEnergy Norm Error AnalysisPetrov-galerkin DiscretizationRobustness
We propose and analyze a discontinuous Petrov--Galerkin (DPG) method for convection-dominated diffusion problems that provides robust $L^2$ error estimates for the field variables which are quasi-optimal in the energy norm. A key feature of the method is to construct test functions defined by a variational formulation with bilinear form (test norm) specifically designed for the goal of robustness. A main theoretical ingredient is a stability analysis of the adjoint problem. Numerical experiments underline our theoretical results and, in particular, confirm robustness of the DPG method for well-chosen test norms.
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J. Zitelli, Ignacio Muga, Leszek Demkowicz et al. · Journal of Computational Physics · 2010 · 132 citations · Full text
Engineering, Computational Engineering, Mechanical Engineering +13