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On the Optimal Auxiliary Linear Operator for the Spectral Homotopy Analysis Method Solution of Nonlinear Ordinary Differential Equations

机译:关于非线性常微分方程光谱同型分析方法解决方案的最优辅助线性算子

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The purpose of this study is to identify the auxiliary linear operator that gives the best convergence and accuracy in the implementation of the spectral homotopy analysis method (SHAM) in the solution of nonlinear ordinary differential equations. The auxiliary linear operator is an essential element of the homotopy analysis method (HAM) algorithm that strongly influences the convergence of the method. In this work we introduce new procedures of defining the auxiliary linear operators and compare solutions generated using the new linear operators with solutions obtained using well-known linear operators. The applicability and validity of the proposed linear operators is tested on four highly nonlinear ordinary differential equations with fluid mechanics applications that have recently been reported in the literature. The results from the study reveal that the new linear operators give better results than the previously used linear operators. The identification of the optimal linear operator will direct future research on further applications of HAM-based methods in solving complicated nonlinear differential equations.
机译:本研究的目的是识别辅助线性操作员,其在非线性常微分方程溶液中的光谱同型分析方法(假)的实施中提供了最佳的收敛性和准确性。辅助线性操作员是同型分析方法(HAM)算法的一个基本要素,其强烈影响该方法的收敛性。在这项工作中,我们介绍了定义辅助线性运算符的新程序,并使用新的线性运算符与使用众所周知的线性运算符获得的解决方案进行比较使用的解决方案。所提出的线性运营商的适用性和有效性在四个高度非线性常微分方程上进行测试,其中包含最近在文献中报告的流体力学应用。研究结果表明,新的线性操作员提供比以前使用的线性运算符更好的结果。最佳线性运营商的识别将对未来的研究基于火腿的方法进行直接研究求解复杂的非线性微分方程。

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