求解具有奇异性常微分方程的Nelder-Mead算法

A. Wusu, O. Olabanjo
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引用次数: 1

摘要

研究了解具有奇异性的常微分方程初值问题。这里,我们用有理函数表示理论解,因为用有理函数表示接近奇点的函数更方便。本文介绍了将IVP问题转化为约束优化问题的过程,以及利用Nelder-Mead算法求近似解的方法。通过两个算例验证了该格式的准确性和有效性。与文献中讨论的现有方法相比,所提出的方法产生了更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nelder-Mead Algorithm in Solving Ordinary Differential Equations Whose Solutions Possess Singularities
This research considers Initial Value Problems (IVPs) in Ordinary Differential Equations (ODEs) whose solutions possess singularities. Here, we represent the theoretical solution by a rational function as it is more convenient representing a function close to a singularity by a rational function. The process of transforming the IVP to a constrained optimization problem and application of Nelder-Mead algorithm in obtaining approximate solution is presented in this work. Accuracy and efficiency of this scheme is demonstrated on two numerical examples. The proposed approach produced better results compared with existing methods discussed in literature.
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