6533b7cffe1ef96bd12582c9

RESEARCH PRODUCT

Implicit-explicit methods for a class of nonlinear nonlocal gradient flow equations modelling collective behaviour

Raimund BürgerLuis Miguel VilladaPep MuletDaniel Inzunza

subject

Numerical AnalysisApplied MathematicsNumerical analysisCPU timeSpace (mathematics)Computer Science::Numerical AnalysisMathematics::Numerical AnalysisConvolutionTerm (time)Computational MathematicsNonlinear systemApplied mathematicsBalanced flowReduction (mathematics)Mathematics

description

Abstract The numerical solution of nonlinear convection-diffusion equations with nonlocal flux by explicit finite difference methods is costly due to the local spatial convolution within the convective numerical flux and the disadvantageous Courant-Friedrichs-Lewy (CFL) condition caused by the diffusion term. More efficient numerical methods are obtained by applying second-order implicit-explicit (IMEX) Runge-Kutta time discretizations to an available explicit scheme for such models in Carrillo et al. (2015) [13] . The resulting IMEX-RK methods require solving nonlinear algebraic systems in every time step. It is proven, for a general number of space dimensions, that this method is well defined. Numerical experiments for spatially two-dimensional problems motivated by models of collective behaviour are conducted with several alternative choices of the pair of Runge-Kutta schemes defining an IMEX-RK method. For fine discretizations, IMEX-RK methods turn out more efficient in terms of reduction of error versus CPU time than the original explicit method.

https://doi.org/10.1016/j.apnum.2019.04.018