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Generalized pseudospectral method: Theory and applications

机译:广义伪谱方法:理论与应用

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In this study, we provide a new method, namely the Generalized Pseudospectral Method (GPM), for solving the linear and nonlinear ordinary/partial differential equations. Initially, we introduce a new class of functions, namely the Generalized Lagrange Functions (GLFs), so that they satisfy in the property of the Kronecker delta at the collocation points. Then, for these GLFs, the differentiation matrix of D-(1) is calculated. Also, it is shown that by using D-(1) and a generalized theorem, all differentiation matrices of D-(m) for all m is an element of N can be calculated, that is, we have generalized the classical Lagrange theorem for this new class of functions. Finally, in order to demonstrate the efficiency and convergence of the GPM, some well-known linear and nonlinear differential equations, which are applicable in engineering and applied sciences, are investigated based on many classes of the collocation points. (C) 2019 Elsevier B.V. All rights reserved.
机译:在这项研究中,我们提供了一种新的方法,即广义伪谱方法(GPM),用于求解线性和非线性常/偏微分方程。首先,我们引入一类新的函数,即广义拉格朗日函数(GLF),以便它们在并置点处满足Kronecker增量的属性。然后,对于这些GLF,计算D-(1)的微分矩阵。而且,证明了通过使用D-(1)和一个广义定理,可以计算出所有m的D-(m)的所有微分矩阵都是N的一个元素,也就是说,我们已经将经典的Lagrange定理推广为这种新的功能类别。最后,为了证明GPM的效率和收敛性,基于许多搭配点,研究了一些适用于工程和应用科学的线性和非线性微分方程。 (C)2019 Elsevier B.V.保留所有权利。

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