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An efficient wavelet based approximation method for a few second order differential equations arising in science and engineering

机译:一种有效的基于小波的近似方法,用于科学和工程领域中的一些二阶微分方程

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A new wavelet based approximation method for solving the second order differential equations arising science and engineering is presented in this paper. Such differential equation is often applied to model phenomena in various fields of science and engineering. In this study, shifted second kind Chebyshev wavelet (CW) operational matrices of derivatives is introduced and applied for solving the second order differential equations with various initial conditions. The key idea for getting the numerical solutions for these equations is to convert the differential equations (linear or nonlinear) to a system of linear or nonlinear algebraic equations in the unknown expansion coefficients. Some illustrative examples are given to demonstrate the validity and applicability of the proposed method. The power of the manageable method is confirmed. Moreover the use of the shifted second kind Chebyshev wavelet method (CWM) is found to be simple, flexible, efficient, small computation costs and computationally attractive.
机译:提出了一种新的基于小波的近似方法,用于求解科学和工程领域产生的二阶微分方程。这种微分方程常用于科学和工程学各个领域的模型现象。在这项研究中,引入了偏移的第二类切比雪夫小波(CW)运算矩阵,并将其用于求解具有各种初始条件的二阶微分方程。获得这些方程的数值解的关键思想是将微分方程(线性或非线性)转换为未知膨胀系数的线性或非线性代数方程组。给出了一些说明性的例子来证明所提出方法的有效性和适用性。易于管理的方法的能力得到确认。而且,发现使用移位的第二种切比雪夫小波方法(CWM)是简单,灵活,有效,计算成本低并且在计算上有吸引力的。

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