DELAY MODELING OF MATHEMATICAL MODELS OF BIOLOGY AND IMMUNOLOGY

T. Lunyk, I. Cherevko
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Abstract

Systems of differential-difference equations are mathematical models of many applied problems of biology, ecology, medicine, economics. The variety of mathematical models of real dynamic processes is due to the fact that their evolution does not occur instantaneously, but with some delays that have different biological interpretations. The introduction of delay allows you to build adequate mathematical models and describe new effects and phenomena in physics, ecology, immunology and other sciences. The exact solution of differential-difference equations can be found only in the simplest cases, so algorithms for finding approximate solutions of such equations are important. In this paper, a family of difference schemes is constructed for the approximate finding of solutions to initial problems with delay. Special cases are generalized Euler difference schemes. The conditions for the convergence of the generalized explicit Euler difference scheme are established. To automate the numerical simulation of systems with delays, an application program has been developed, which is used to approximate the solutions of SIR models with two delays.
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生物学和免疫学数学模型的延迟建模
微分-差分方程系统是生物学、生态学、医学、经济学中许多应用问题的数学模型。真实动态过程的数学模型的多样性是由于它们的进化不是瞬间发生的,而是有一些延迟,这些延迟有不同的生物学解释。延迟的引入使您能够建立适当的数学模型,并描述物理学、生态学、免疫学和其他科学中的新效应和现象。微分-差分方程的精确解只能在最简单的情况下找到,因此寻找这类方程近似解的算法很重要。本文构造了一类差分格式,用于近似求时滞初始问题的解。特殊情况是广义欧拉差分格式。建立了广义显式欧拉差分格式收敛的条件。为了使具有时滞的系统的数值模拟自动化,开发了一个应用程序,用于逼近具有两个时滞的SIR模型的解。
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