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  • 标题:Landweber iterative regularization method for identifying the unknown source of the time-fractional diffusion equation
  • 本地全文:下载
  • 作者:Fan Yang ; Xiao Liu ; Xiao-Xiao Li
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2017
  • 卷号:2017
  • 期号:1
  • 页码:388
  • DOI:10.1186/s13662-017-1423-8
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this paper, we investigate an inverse problem to determine an unknown source term that has a separable-variable form in the time-fractional diffusion equation, whereby the data is obtained at a certain time. This problem is ill-posed, and we use the Landweber iterative regularization method to solve this inverse source problem. Two kinds of convergence rates are obtained by using an a priori and an a posteriori regularization parameters choice rules, respectively. Numerical examples are provided to show the effectiveness of the proposed method.
  • 关键词:time-fractional diffusion equation ; ill-posed problem ; unknown source ; Landweber iterative method
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