2019
DOI: 10.1016/j.camwa.2019.02.017
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A fractional Landweber method for solving backward time-fractional diffusion problem

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Cited by 31 publications
(19 citation statements)
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“…Theorem 4.1. Let f + be the best-approximate solution defined in (15), f m δ is the solution of the fractional Landweber regularization (21) or (22). Assume the noisy data satisfies (7) and the solution satisfies the a priori (25) under the choices for the a priori regularization parameter m and acceleration factor a:…”
Section: Under a Priori Parameter Choice Rulementioning
confidence: 99%
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“…Theorem 4.1. Let f + be the best-approximate solution defined in (15), f m δ is the solution of the fractional Landweber regularization (21) or (22). Assume the noisy data satisfies (7) and the solution satisfies the a priori (25) under the choices for the a priori regularization parameter m and acceleration factor a:…”
Section: Under a Priori Parameter Choice Rulementioning
confidence: 99%
“…Wang and Wei [31] proposed an iterative method inspired by the work [7,8,5] to solve a backward problem, and gave convergence estimates under two kinds of regularization parameter choice rule. In [15], Han et al obtained a regularization solution by the fractional Landweber iterative regularization method for identifying the initial condition of the time-fractional diffusion equation.…”
mentioning
confidence: 99%
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“…In recent years, the direct problems [13][14][15][16][17][18] corresponding to the time-fractional diffusion equations have been extensively studied, and inverse problems of fractional diffusion equations have been extensively studied; one can see previous works. [19][20][21][22][23][24][25][26] But there are few results for inverse problem of time-fractional diffusion equation with Caputo-like counterpart hyper-Bessel operator. Therefore, in this paper, our purpose is to identify the initial value problem of time-fractional equation with Caputo-like counterpart hyper-Bessel operator.…”
Section: Introductionmentioning
confidence: 99%