微分变换法求解非线性SIQRM生物模型的误差估计

O. Odetunde
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引用次数: 0

摘要

求解非线性微分方程多数时候是困难的,并且需要一些技术细节。文献中推导了许多半解析方法,为非线性问题提供级数解,与等效精确解(或不存在精确解的情况下的数值解)相比,每种方法都具有一定的精度。因此,使用DTM和Pade近似求解了由疾病动力学的易感感染检疫恢复免疫(SIQRM)数学模型产生的常微分方程组;并将它们的结果与4阶龙格-库塔(RK4)进行了数值比较。结果表明,DTM在处理非线性DE时是可靠的,而Pade近似提高了其(DTM)精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error estimation for Differential Transform Method (DTM)solution of non-linear SIQRM biological model
Solving a non-linear differential equation most times is difficult and requires some technicalities. Many semi-analytical methods were derived in literature to provide series solution to non-linear problem, with each method giving some level of accuracy when compared with their equivalent exact solution (or numerical solution in case exact does not exist). Thus, system of ordinary differential equations (ODEs) arising from a formulated Susceptible-Infected-Quarantine-Recovered-Immunity (SIQRM) mathematical model of a disease dynamics were solved using DTM and Pade approximation; and their results numerically compared with Runge-Kutta order 4 (RK4). The table of result shows that DTM is reliable to tackle non-linear DE while Pade approximant improves its (DTM) accuracy.
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