2021
DOI: 10.1002/mma.7331
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Recovering the source term for parabolic equation with nonlocal integral condition

Abstract: The main purpose of this article is to present a Tikhonov method to construct the source function f(x) of the parabolic diffusion equation. This problem is well known to be severely ill‐posed. Therefore, regularization is required. The error estimates between the sought solution and the regularized solution are obtained under an a priori parameter choice rule and an a posteriori parameter choice rule, respectively. One numerical test illustrates that the proposed method is feasible and effective.

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Cited by 3 publications
(3 citation statements)
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“…Inverse problems for timefractional diffusion equations seek to retrieve initial data, source function, diffusion coefficient, and other parameters through additional data. However, such problems have received little attention recently [3][4][5]. As far as we know, no previous studies have focused on (1)-(2) concerning random noise as depicted in (4).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Inverse problems for timefractional diffusion equations seek to retrieve initial data, source function, diffusion coefficient, and other parameters through additional data. However, such problems have received little attention recently [3][4][5]. As far as we know, no previous studies have focused on (1)-(2) concerning random noise as depicted in (4).…”
Section: Introductionmentioning
confidence: 99%
“…However, such problems have received little attention recently [3][4][5]. As far as we know, no previous studies have focused on (1)-(2) concerning random noise as depicted in (4).…”
Section: Introductionmentioning
confidence: 99%
“…This condition is proposed in the paper by Dokuchaev [29]. Very recently, Tuan and coauthors used this condition to solve some nonlocal problem, for example [30][31][32], and [33]. Motivated by this above reason, in this paper, we apply the fractional Tikhonov method to solve problem (1.1).…”
Section: Introductionmentioning
confidence: 99%