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Mathematics
Article . 2019 . Peer-reviewed
License: CC BY
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Mathematics
Article
License: CC BY
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Mathematics
Article . 2019
Data sources: DOAJ
https://dx.doi.org/10.60692/nj...
Other literature type . 2019
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Other literature type . 2019
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A Mollification Regularization Method for the Inverse Source Problem for a Time Fractional Diffusion Equation

طريقة تنظيم التهدئة لمشكلة المصدر العكسي لمعادلة الانتشار الجزئي للوقت
Authors: Le Dinh Long; Yong Zhou; Tran Thanh Binh; Nguyen Can;

A Mollification Regularization Method for the Inverse Source Problem for a Time Fractional Diffusion Equation

Abstract

We consider a time-fractional diffusion equation for an inverse problem to determine an unknown source term, whereby the input data is obtained at a certain time. In general, the inverse problems are ill-posed in the sense of Hadamard. Therefore, in this study, we propose a mollification regularization method to solve this problem. In the theoretical results, the error estimate between the exact and regularized solutions is given by a priori and a posteriori parameter choice rules. Besides, the proposed regularized methods have been verified by a numerical experiment.

Keywords

Artificial intelligence, Inverse Problems in Mathematical Physics and Imaging, Inverse Scattering Theory, Economics, Inverse Problems, Diffusion equation, Geometry, ill-posed problem, Epistemology, Mathematical analysis, Convergence Analysis of Iterative Methods for Nonlinear Equations, Service (business), QA1-939, FOS: Mathematics, convergence estimates, Regularization (linguistics), Anomalous Diffusion Modeling and Analysis, Mathematical Physics, Hadamard transform, Numerical Analysis, Time-Fractional Diffusion Equation, Mathematical optimization, Economy, A priori and a posteriori, Applied mathematics, Computer science, FOS: Philosophy, ethics and religion, Regularization Methods, Philosophy, Modeling and Simulation, Physical Sciences, Inverse problem, inverse problem, Inverse, time-fractional diffusion equation, Mathematics, Anomalous Diffusion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
gold