Numerical simulation of the SIR and Lotka-Volterra models used in biology

Inasse El Arabi, A. Chafi, S. Alami
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引用次数: 3

Abstract

In this work, we will simulate different mathematical models used in biology, the first one is used to describe the dynamics of biological systems in which a predator and its prey interact with each other, called the lotka-volterra model, the second one is used to describe the evolution of an infectious disease in any population, and the last is used in the Monod model which describe bacterial growth in a given environment. First, we will present the three mathematical models that govern the evolution of the prey relative to the predator and vice versa, the spread of an infectious agent within a population, or even bacterial growth in a given environment. These models form a system of non-linear and coupled equations, which requires special numerical processing because of the biological terms used in these one. The numerical simulation is based on the explicit Runge-Kutter method of order 4 (ODE 45) which is best suited to solve this type of equation system.
生物学中SIR和Lotka-Volterra模型的数值模拟
在这项工作中,我们将模拟生物学中使用的不同数学模型,第一个用于描述捕食者和猎物相互作用的生物系统动力学,称为lotka-volterra模型,第二个用于描述任何种群中传染病的进化,最后一个用于描述给定环境中细菌生长的Monod模型。首先,我们将介绍三种数学模型,这些模型控制着猎物相对于捕食者的进化,反之亦然,传染病在种群中的传播,甚至是特定环境中的细菌生长。这些模型形成了一个非线性和耦合方程系统,由于其中使用了生物学术语,因此需要特殊的数值处理。数值模拟采用最适合求解这类方程组的4阶显式龙格-库特法(ode45)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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