Stepwise regularization method for a nonlinear Riesz–Feller space-fractional backward diffusion problem
2019 ◽
Vol 27
(6)
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pp. 759-775
Keyword(s):
Abstract In this paper, we consider the backward diffusion problem for a space-fractional diffusion equation (SFDE) with a nonlinear source, that is, to determine the initial data from a noisy final data. Very recently, some papers propose new modified regularization solutions to solve this problem. To get a convergence estimate, they required some strongly smooth conditions on the exact solution. In this paper, we shall release the strongly smooth conditions and introduce a stepwise regularization method to solve the backward diffusion problem. A numerical example is presented to illustrate our theoretical result.
2017 ◽
Vol 25
(4)
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2018 ◽
Vol 1
(T5)
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pp. 172-183
2018 ◽
Vol 148
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pp. 37-47
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2020 ◽
Vol 28
(2)
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pp. 211-235
2016 ◽
Vol 61
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pp. 143-148
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2014 ◽
Vol 2014
(1)
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pp. 434
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