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The Lie-group method based on radial basis functions for solving nonlinear high dimensional generalized Benjamin-Bona-Mahony-Burgers equation in arbitrary domains

机译:基于径向基函数的Lie-Group方法,用于求解非线性高维广义本杰明 - 骨干 - 汉语 - 汉语 - 汉语 - 汉语 - 汉语 - 汉堡方程的任意畴

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The aim of this paper is to introduce a new numerical method for solving the nonlinear generalized Benjamin-Bona-Mahony-Burgers (GBBMB) equation. This method is combination of group preserving scheme (GPS) with radial basis functions (RBFs), which takes advantage of two powerful methods, one as geometric numerical integration method and the other meshless method. Thus, we introduce this method as the Lie-group method based on radial basis functions (LG-RBFs). In this method, we use Kansas approach to approximate the spatial derivatives and then we apply GPS method to approximate first-order time derivative. One of the important advantages of the developed method is that it can be applied to problems on arbitrary geometry with high dimensions. To demonstrate this point, we solve nonlinear GBBMB equation on various geometric domains in one, two and three dimension spaces. The results of numerical experiments are compared with analytical solutions and the method presented in Dehghan et al. (2014) to confirm the accuracy and efficiency of the presented method. (C) 2017 Elsevier Inc. All rights reserved.
机译:本文的目的是引入一种求解非线性广义本杰明-NAHA-BAN-BURERS(GBBMB)方程的新数值方法。该方法是具有径向基函数(RBF)的组保存方案(GPS)的组合,这利用了两个强大的方法,一个是几何数值积分方法和其他网格方法。因此,我们将该方法介绍为基于径向基函数(LG-RBFS)的Lie-Group方法。在这种方法中,我们使用堪萨斯方法来近似空间衍生物,然后我们将GPS方法应用于近似一阶时间衍生物。开发方法的一个重要优点之一是它可以应用于具有高维度的任意几何形状的问题。为了证明这一点,我们在一个,两个和三维空间中解决各种几何域上的非线性GBBMB方程。将数值实验的结果与分析溶液进行比较,并在Dehghan等人中提出的方法。 (2014)确认提出的方法的准确性和效率。 (c)2017年Elsevier Inc.保留所有权利。

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