自动求解积分方程的新算法

Jun Zhang, Weiwei Zhu, Fangyang Shen
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引用次数: 2

摘要

积分方程有着广泛的应用。拉普拉斯变换在数学中一直扮演着重要的角色;它在求解积分方程方面具有强大的功能和广泛的应用,然而,这种传统的方法有一个严重的缺点,那就是拉普拉斯逆变换的计算。除了一些非常简单的函数外,这种逆计算是有问题的或不可能的。Sumudu变换是一种新的积分变换,具有拉普拉斯变换的优点,为求解问题提供了新的方法。本文提出了一种新的求解积分方程的计算方法,该方法结合了拉普拉斯变换和Sumudu变换的有用特征,从而避免了拉普拉斯逆变换的计算。此外,通过实例证明,本工作中提出的新方法和技术可以在Maple等计算机代数系统中实现,以自动求解Volterra卷积积分方程和混合微分Volterra卷积积分方程
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New Algorithms to Solve Integral Equations Automatically
Integral equations come from a wide range of applications. Laplace transform has been playing an important role in mathematics; it is very powerful and widely used in solving integral equations, however, such a traditional method suffers a serious drawback, which is the calculation of inverse Laplace transform. Such a kind of inverse calculation is problematic or impossible, except some very simple functions. Sumudu transform is a new integral transform with nice features like Laplace transform, in addition, it provides new methodology for problem solving. In this work, a new computational method is proposed to solve integral equations, the new method incorporates useful features from both Laplace transform and Sumudu transform such that the calculation of the inverse Laplace transform is avoided. In addition, it is demonstrated with implementations that the new method and techniques presented in this work can be implemented in computer algebra systems such as Maple to solve Volterra convolution integral equations and mixed differential Volterra convolution integral equations automatically
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