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  • 标题:Gaussian Radial Basis Function for Unsteady Groundwater Flow
  • 本地全文:下载
  • 作者:Kehong Zheng ; Congcong Li ; Fuzhang Wang
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:304
  • 期号:2
  • 页码:1-6
  • DOI:10.1088/1755-1315/304/2/022052
  • 出版社:IOP Publishing
  • 摘要:The radial basis function (RBF) collocation methods are meshless with spectrally accurate; its approximation is an extremely powerful tool for solving various types of partial differential equations (PDEs). In this paper, the Gaussian RBF (G-RBF) collocation method is applied to solving unsteady groundwater flow governed by nonlinear elliptic PDEs. During the whole solution process, no iterations are required for a kind of nonlinear PDEs. Numerical results are compared with the well-known Kansa's method, also namely as Multiquadrics radial basis function (MQ-RBF). The results obtained show good performance of the G-RBF as solution to unsteady groundwater flow problems.
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