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A new exponential Jacobi pseudospectral method for solving high-order ordinary differential equations

机译:求解高阶常微分方程的新的指数Jacobi伪谱方法

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This paper reports new orthogonal functions on the half line based on the definition of the classical Jacobi polynomials. We derive an operational matrix representation for the differentiation of exponential Jacobi functions which is used to create a new exponential Jacobi pseudospectral method based on the operational matrix of exponential Jacobi functions. This exponential Jacobi pseudospectral method is implemented to approximate solutions to high-order ordinary differential equations (ODEs) on semi-infinite intervals. The advantages of using the exponential Jacobi pseudospectral method over other techniques are discussed. Several numerical examples are presented to confirm the validity and applicability of the proposed method. Moreover, the obtained results are compared with those obtained using other techniques.
机译:本文基于经典Jacobi多项式的定义,在半线上报告了新的正交函数。我们导出了用于指数雅可比函数微分的运算矩阵表示,该表达式用于基于指数雅可比函数的运算矩阵创建新的指数雅可比伪谱方法。该指数Jacobi伪谱方法用于在半无限区间上近似求解高阶常微分方程(ODE)的解。讨论了使用指数Jacobi伪谱方法比其他技术的优点。数值算例表明了所提方法的有效性和适用性。此外,将获得的结果与使用其他技术获得的结果进行比较。

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