On nonstandard finite difference schemes in biosciences
Author(s) -
Roumen Anguelov,
Yves Dumont,
Jean Lubuma
Publication year - 2012
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4758961
Subject(s) - stability (learning theory) , finite difference , advection , finite difference method , exponential stability , mathematics , property (philosophy) , diffusion , differential equation , computer science , mathematical analysis , physics , nonlinear system , philosophy , epistemology , quantum mechanics , machine learning , thermodynamics
We design, analyze and implement nonstandard finite difference (NSFD) schemes for some differential models in biosciences. The NSFD schemes are reliable in three directions. They are topologically dynamically consistent for onedimensional models. They can replicate the global asymptotic stability of the disease-free equilibrium of the MSEIR model in epidemiology whenever the basic reproduction number is less than 1. They preserve the positivity and boundedness property of solutions of advection-reaction and reaction-diffusion equations.
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