2020
DOI: 10.1155/2020/5865971
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An Inverse Problem for a Two-Dimensional Time-Fractional Sideways Heat Equation

Abstract: In this paper, we consider a two-dimensional (2D) time-fractional inverse diffusion problem which is severely ill-posed; i.e., the solution (if it exists) does not depend continuously on the data. A modified kernel method is presented for approximating the solution of this problem, and the convergence estimates are obtained based on both a priori choice and a posteriori choice of regularization parameters. The numerical examples illustrate the behavior of the proposed method.

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Cited by 7 publications
(4 citation statements)
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References 39 publications
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“…As a result, this subject draws interest of many scientists in various research areas [1,2,3,4,5,6,7,8,9,10,11,12]. Therefore, inverse problems including fractional differential equations becomes an essential part of diverse processes in science [13,14,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…As a result, this subject draws interest of many scientists in various research areas [1,2,3,4,5,6,7,8,9,10,11,12]. Therefore, inverse problems including fractional differential equations becomes an essential part of diverse processes in science [13,14,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Compared to the 1D setting, the literature of fractional diffusion equation in 2D or higher dimensional setting is much more scarce. Some articles [25][26][27][28] study the following 2D homogeneous fractional diffusion equation:…”
Section: Introductionmentioning
confidence: 99%
“…For the theoretical results of the stability and the uniqueness of the solution, a backward problem and inverse source problem for a multi-dimensional time-fractional diffusion equation were included in [28]. The authors of [29,30] managed the inverse problem for the two-dimensional time-fractional sideways heat equation in the infinite domain. Inverse problems for two-dimensional time-fractional diffusion equation were also considered in [29,[31][32][33].…”
Section: Introductionmentioning
confidence: 99%