SIAM Journal on Numerical Analysis · 2011 · 94 citations · 35 references
Natural SciencesMathematicsComputational Fluid DynamicsComputational PhysicsDifferential EquationsConvergence AnalysisDiffusion ApproximationDiffusion ProcessesNumerical AlgorithmsNumerical ConvergenceNumerical Methods For Differential EquationsCoercivityConcentrationConvergenceDiffusion Equation ModelsDiscrete Approximation SchemesDiscrete Maximum PrincipleStability Of Numerical SchemesTransient Diffusion Approximation
We present a method to approximate (in any space dimension) diffusion equations with schemes having a specific structure; this structure ensures that the discrete local maximum and minimum principles are respected, and that no spurious oscillations appear in the solutions. When applied in a transient setting on models of concentration equations, it guaranties in particular that the approximate solutions stay between the physical bounds. We make a theoretical study of the constructed schemes, proving under a coercivity assumption that their solutions converge to the solution of the PDE. Several numerical results are also provided; they help us understand how the parameters of the method should be chosen. These results also show the practical efficiency of the method, even when applied to complex models.
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Robert Eymard, Thierry Gallouët, R. Herbin · IMA Journal of Numerical Analysis · 2009 · 334 citations · Full text
Computing, Computational Engineering, Computational Mechanics +16