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Improved wavelets based technique for nonlinear partial differential equations

机译:基于改进小波的非线性偏微分方程技术

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One of the most challenging task now a days for engineers and scientists is finding solutions of nonlinear Partial Differential Equations (PDEs) which frequently arise in many engineering and physical phenomena's. Encouraged by the ongoing research, a new technique is proposed in this article for obtaining more accurate results of nonlinear PDEs. Shifted Legendre wavelets and Picard's Iteration Technique are used in the proposed technique. To test the significance of the proposed technique, nonlinear Gardner equation is considered and solved. The proposed technique provides very accurate results over a wider interval because of the use of the shifted polynomials. The results obtained are also compared with the results of Variational Iteration Method and the supremacy of the proposed method is established.
机译:对于工程师和科学家来说,当今最具有挑战性的任务之一是找到非线性偏微分方程(PDE)的解决方案,该问题经常出现在许多工程和物理现象中。在正在进行的研究的鼓舞下,本文提出了一种新技术,用于获得更准确的非线性PDE结果。提出的技术采用了移位的勒让德雷小波和皮卡德迭代技术。为了检验所提出技术的重要性,考虑并求解了非线性Gardner方程。由于使用了移位多项式,因此所提出的技术可以在更宽的间隔内提供非常准确的结果。还将获得的结果与变分迭代法的结果进行比较,并建立了该方法的优越性。

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