Abstract The combination of meshless method based on radial basis functions with a geometric numerical integration method for solving partial differential equations: Application to the heat equation
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The combination of meshless method based on radial basis functions with a geometric numerical integration method for solving partial differential equations: Application to the heat equation

机译:基于径向基函数的无网格方法与求解偏微分方程的几何数值积分方法的组合:在热方程中的应用

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摘要

AbstractIn this paper a new scheme is investigated for solving partial differential equations via combination of radial basis functions (RBFs) and group preserving scheme (GPS), which takes advantage of two powerful methods. In this method, we use Kansas approach to approximate the spatial derivatives and then we apply GPS method to approximate first-order time derivative. An advantage of the developed method is that it can be applied to problems with non-regular geometrical domains. To show the efficiency of this method, some heat equations are solved in one, two and three dimension spaces. The two-dimensional version of heat equation on different geometries such as the rectangular, triangular and circular domains is solved. The three-dimensional case is solved on the cubical and spherical domains. To show the high accuracy of the method, a comparison study of the present method and method used in the paper of Dehghan [1] is given.
机译: 摘要 本文研究了一种通过结合径向基函数(RBF)和群保留方案(GPS)来求解偏微分方程的新方案。强大的方法。在这种方法中,我们使用堪萨斯方法近似空间导数,然后应用GPS方法近似一阶时间导数。所开发方法的优点是可以将其应用于具有非规则几何域的问题。为了显示该方法的效率,在一维,二维和三维空间中求解了一些热方程。解决了在不同几何形状(例如矩形,三角形和圆形区域)上的热方程的二维形式。在三次域和球形域上求解三维情况。为了显示该方法的高精度,对本方法与Dehghan [1]论文中使用的方法进行了比较研究。

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