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SOR-Like New Iterative Method for Solving the Epidemic Model and the Prey and Predator Problem

机译:解决流行病模型的SOR样的新迭代方法和猎物和捕食者问题

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摘要

Our aim in this paper is to propose an SOR-like new iterative method by introducing a relaxation parameter ω to improve the new iterative method proposed by Daftardar-Gejji and Jafari (NIM) [J. Math. Anal. Appl. 316 (2006) 753–763] in order to solve two problems. The first one is the problem of the spread of a nonfatal disease in a population which is assumed to have constant size over the period of the epidemic, and the other one is the problem of prey and predator. The proposed method is not limited to these two problems but can be applicable to a wide range of systems of nonlinear functional problem. The results, for different values of ω, show that we found some known methods and our method compared to methods using the calculation of special polynomials and derivatives like the Adomian decomposition method (ADM), the calculation of the Lagrange multiplier as in the variational iterative method (VIM), or the construction of a homotopy as in the homotopy perturbation method (HPM) has several advantages, such as very effective and very simple to implement. Unfortunately, these methods do not guarantee a valid approximation in large time interval. To overcome this, we applied our method for approximating the solution of the problems in a sequence of time intervals as a multistage approach. Some numerical results are presented with plots according to the parameter ω.
机译:我们本文的目的是通过引入弛豫参数ω提出SOR样的新迭代方法,以改善Daftardar-Gejji和Jafari(Nim)提出的新迭代方法[J。数学。肛门。苹果。 316(2006)753-763]为了解决两个问题。第一个是在群体中散发出不常见的疾病的问题,这是在疫情的时期具有恒定大小的群体,另一个是猎物和捕食者的问题。所提出的方法不限于这两个问题,但可以适用于广泛的非线性功能问题系统。结果,对于不同值ω,表明我们发现了一些已知的方法和方法与使用特殊多项式和衍生物的方法相比,与adomian分解方法(ADM)这样的衍生物,拉格朗日乘法器的计算如变分迭代方法(Vim),或者在同型扰动方法(HPM)中的同型同型均等的优点,如非常有效,实现非常简单。不幸的是,这些方法不保证在大时间间隔中的有效近似。为了克服这一点,我们应用了我们以时间间隔序列近似问题的方法作为多级方法。一些数值结果用根据参数ω的图呈现。

著录项

  • 作者

    Atika Radid; Karim Rhofir;

  • 作者单位
  • 年度 2020
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  • 原文格式 PDF
  • 正文语种 eng
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