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Fourier Truncation Regularization Method for a Time-Fractional Backward Diffusion Problem with a Nonlinear Source
oleh: Fan Yang, Ping Fan, Xiao-Xiao Li, Xin-Yi Ma
Format: | Article |
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Diterbitkan: | MDPI AG 2019-09-01 |
Deskripsi
In present paper, we deal with a backward diffusion problem for a time-fractional diffusion problem with a nonlinear source in a strip domain. We all know this nonlinear problem is severely ill-posed, i.e., the solution does not depend continuously on the measurable data. Therefore, we use the Fourier truncation regularization method to solve this problem. Under an a priori hypothesis and an a priori regularization parameter selection rule, we obtain the convergence error estimates between the regular solution and the exact solution at <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0</mn> <mo>≤</mo> <mi>x</mi> <mo><</mo> <mn>1</mn> </mrow> </semantics> </math> </inline-formula>.