2019
DOI: 10.1186/s13662-019-2155-8
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Filter regularization method for a time-fractional inverse advection–dispersion problem

Abstract: A filter regularization method is developed to solve a time-fractional inverse advection-dispersion problem, which is based on the modified 'kernel' idea. Proofs of convergence are given under both priori and posteriori regularization parameter choice rules. Numerical examples are presented to illustrate the effectiveness of the proposed algorithm.

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Cited by 4 publications
(1 citation statement)
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“…coefficient information, source term information might not be given and then we need to recover them by extra measured information which is able to yield some fractional diffusion inverse problems [12][13][14][15][16][17][18][19][20]. In recent years, inverse problems for fractional diffusion equation have become very active in various fields of sciences and engineering, such as biology [21,22], physics [23,24], chemistry [25], and hydrology [26].…”
Section: Introductionmentioning
confidence: 99%
“…coefficient information, source term information might not be given and then we need to recover them by extra measured information which is able to yield some fractional diffusion inverse problems [12][13][14][15][16][17][18][19][20]. In recent years, inverse problems for fractional diffusion equation have become very active in various fields of sciences and engineering, such as biology [21,22], physics [23,24], chemistry [25], and hydrology [26].…”
Section: Introductionmentioning
confidence: 99%