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  • 标题:A GPIU method for fractional diffusion equations
  • 本地全文:下载
  • 作者:Hai-Long Shen ; Yu-Han Li ; Xin-Hui Shao
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2020
  • 卷号:2020
  • 期号:1
  • 页码:1-17
  • DOI:10.1186/s13662-020-02731-9
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The fractional diffusion equations can be discretized by applying the implicit finite difference scheme and the unconditionally stable shifted Grünwald formula. Hence, the generating linear system has a real Toeplitz structure when the two diffusion coefficients are non-negative constants. Through a similarity transformation, the Toeplitz linear system can be converted to a generalized saddle point problem. We use the generalization of a parameterized inexact Uzawa (GPIU) method to solve such a kind of saddle point problem and give a new algorithm based on the GPIU method. Numerical results show the effectiveness and accuracy for the new algorithm.
  • 关键词:Fractional diffusion equations;Generalized saddle point problem;Stability;Toeplitz linear system;The shifted Grünwald formula;
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