2009
DOI: 10.1137/07070423x
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New Interior Penalty Discontinuous Galerkin Methods for the Keller–Segel Chemotaxis Model

Abstract: We develop a family of new interior penalty discontinuous Galerkin methods for the Keller-Segel chemotaxis model. This model is described by a system of two nonlinear PDEs: a convection-diffusion equation for the cell density coupled with a reaction-diffusion equation for the chemoattractant concentration. It has been recently shown that the convective part of this system is of a mixed hyperbolic-elliptic type, which may cause severe instabilities when the studied system is solved by straightforward numerical … Show more

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Cited by 71 publications
(44 citation statements)
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References 38 publications
(43 reference statements)
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“…The underlying spatial discretization of the model is based on the methods proposed recently in [18] and the temporal discretization is based either on Forward Euler or the second order explicit total variation diminishing (TVD) Runge-Kutta methods.…”
Section: Introductionmentioning
confidence: 99%
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“…The underlying spatial discretization of the model is based on the methods proposed recently in [18] and the temporal discretization is based either on Forward Euler or the second order explicit total variation diminishing (TVD) Runge-Kutta methods.…”
Section: Introductionmentioning
confidence: 99%
“…However, the operator splitting approach may not be applicable when a convective part of the chemotaxis system is not hyperbolic, which is a generic situation for the original Keller-Segel model as it was shown in [10], where the finitevolume Godunov-type central-upwind scheme was derived for (1.1) and extended to some other chemotaxis and haptotaxis models. The high-order discontinuous Galerkin method that is investigated here is based on the method proposed in [18]. The DG methods have recently become increasingly popular thanks to their flexibility for adaptive simulations, suitability for parallel computations, applicability to problems with discontinuous coefficients and/or solutions, and compatibility with other numerical methods.…”
Section: Introductionmentioning
confidence: 99%
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