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Research & Development > Publication of research “Identification and regularization for unknown source for a time-fractional diffusion equation”

Publication of research “Identification and regularization for unknown source for a time-fractional diffusion equation”

On November 3rd, 2016, the first author, Assoc. Prof. Nguyen Huy Tuan, a research collaborator of Laboratory of Environmental Science at Institute for Computational Science and Technology, Ho Chi Minh City and his colleague, Mr. Le Dinh Long, has just published a research named “Identification and regularization for unknown source for a time-fractional diffusion equation” on Computers & Mathematics with Applications
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In this paper, we consider the inverse problem of determining a source in a time fractional diffusion equation where data are given at a fixed time. This problem is ill-posed, i.e., the solution (if it exists) does not depend continuously on the data. Using the method of truncated integration and the Fourier transform, we construct regularized solutions and derive explicitly error estimate. Two numerical examples are presented to illustrate the validity and effectiveness of our method.
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Read full article here.
Author: Dinh Long
Editor: Kim Loan

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