A fully adaptive numerical approximation for a two-dimensional epidemic model with nonlinear cross-diffusion
Handle URI:
https://hdl.handle.net/10925/862
Resumen:
An epidemic model is formulated by a reaction-diffusion system where the spatial pattern formation is driven by crossdiffusion.
Whereas the reaction terms describe the local dynamics of susceptible and infected species, the diffusion
terms account for the spatial distribution dynamics. For both self-diffusion and cross-diffusion nonlinear constitutive
assumptions are suggested. To simulate the pattern formation two finite volume formulations are proposed, which
employ a conservative and a non-conservative discretization, respectively. An efficient simulation is obtained by a fully adaptive multiresolution strategy. Numerical examples illustrate the impact of the cross-diffusion on the pattern formation.
Palabras Claves:
Ingeniería matemática - Ecuaciones
Datos de publicación:
Nonlinear Analysis-Real World Applications, Vol. 12, N°15, 2888-2903, 2011
