A variable nonlinear splitting algorithm for reaction-diffusion systems with self- and cross-diffusion

Fuente: arXiv
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Autori principali: Beauregard, Matthew A., Padgett, Joshua L.
Natura: Preprint
Pubblicazione: 2019
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author Beauregard, Matthew A.
Padgett, Joshua L.
author_facet Beauregard, Matthew A.
Padgett, Joshua L.
contents Self- and cross-diffusion are important nonlinear spatial derivative terms that are included into biological models of predator-prey interactions. Self-diffusion models overcrowding effects, while cross-diffusion incorporates the response of one species in light of the concentration of another. In this paper, a novel nonlinear operator splitting method is presented that directly incorporates both self- and cross-diffusion into a computational efficient design. The numerical analysis guarantees the accuracy and demonstrates appropriate criteria for stability. Numerical experiments display its efficiency and accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_1901_06049
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle A variable nonlinear splitting algorithm for reaction-diffusion systems with self- and cross-diffusion
Beauregard, Matthew A.
Padgett, Joshua L.
Numerical Analysis
Self- and cross-diffusion are important nonlinear spatial derivative terms that are included into biological models of predator-prey interactions. Self-diffusion models overcrowding effects, while cross-diffusion incorporates the response of one species in light of the concentration of another. In this paper, a novel nonlinear operator splitting method is presented that directly incorporates both self- and cross-diffusion into a computational efficient design. The numerical analysis guarantees the accuracy and demonstrates appropriate criteria for stability. Numerical experiments display its efficiency and accuracy.
title A variable nonlinear splitting algorithm for reaction-diffusion systems with self- and cross-diffusion
topic Numerical Analysis
url https://arxiv.org/abs/1901.06049