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Some Comparison of Solutions by Different Numerical Techniques on Mathematical Biology Problem

机译:数学生物学问题不同数值方法解的一些比较

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We try to compare the solutions by some numerical techniques when we apply the methods on some mathematical biology problems. The Runge-Kutta-Fehlberg (RKF) method is a promising method to give an approximate solution of nonlinear ordinary differential equation systems, such as a model for insect population, one-species Lotka-Volterra model. The technique is described and illustrated by numerical examples. We modify the population models by taking the Holling type III functional response and intraspecific competition term and hence we solve it by this numerical technique and show that RKF method gives good results. We try to compare this method with the Laplace Adomian Decomposition Method (LADM) and with the exact solutions.
机译:当我们将这些方法应用于一些数学生物学问题时,我们尝试通过一些数值技术来比较这些解决方案。 Runge-Kutta-Fehlberg(RKF)方法是一种有前途的方法,可以给出非线性常微分方程系统的近似解,例如昆虫种群模型,一类Lotka-Volterra模型。通过数值示例来描述和说明该技术。我们通过考虑Holling III型功能反应和种内竞争条件来修改种群模型,因此我们用这种数值技术对其进行了求解,并表明RKF方法给出了良好的结果。我们尝试将该方法与拉普拉斯阿德曼分解法(LADM)以及确切的解决方案进行比较。

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