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Regularization methods for unknown source in space fractional diffusion equation

机译:空间分数扩散方程中未知源的正则化方法

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摘要

We discuss determining the unknown steady source in a space fractional diffusion equation and show that both the Fourier and wavelet dual least squares regularization methods work well for the ill-posed problem. The detailed error estimates are also strictly established for both of the methods. Moreover, the algorithm implementation and the corresponding numerical results are presented for the Fourier regularization method.
机译:我们讨论了在空间分数扩散方程中确定未知稳定源的问题,并表明傅里叶和小波对偶最小二乘正则化方法都适用于不适定问题。还为这两种方法严格建立了详细的误差估计。此外,给出了傅里叶正则化方法的算法实现和相应的数值结果。

著录项

  • 来源
    《Mathematics and computers in simulation》 |2012年第11期|45-56|共12页
  • 作者单位

    School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, People's Republic of China;

    School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, People's Republic of China,Department of Applied Mathematics, School of Sciences, Xi'san University of Technology, Xi'san, Shaanxi 710054, People's Republic of China;

    School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, People's Republic of China;

    School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    space fractional diffusion equation; ill-posed problems; regularization methods;

    机译:空间分数扩散方程;不适的问题;正则化方法;

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