L
Le Dinh Long
Researcher at Ho Chi Minh City University of Science
Publications - 49
Citations - 281
Le Dinh Long is an academic researcher from Ho Chi Minh City University of Science. The author has contributed to research in topics: Fractional calculus & Inverse problem. The author has an hindex of 7, co-authored 34 publications receiving 165 citations. Previous affiliations of Le Dinh Long include Vietnam National University, Ho Chi Minh City & Banking University of Ho Chi Minh City.
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On a final value problem for the time-fractional diffusion equation with inhomogeneous source
TL;DR: In this paper, a regularizing solution using the quasi-boundary value method was proposed for the time-fractional diffusion equation with inhomogeneous source to determine an initial data from the observation data provided at a later time.
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Tikhonov regularization method for a backward problem for the inhomogeneous time-fractional diffusion equation
TL;DR: Fractional (nonlocal) diffusion equations replace the integer-order derivatives in space and time by their fractional-order analogs and they are used to model anomalous diffusion, especially in pyramids as discussed by the authors.
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Identifying inverse source for fractional diffusion equation with Riemann–Liouville derivative
TL;DR: In this work, an inverse problem to determine an unknown source term for fractional diffusion equation with Riemann–Liouville derivative is studied and the quasi-boundary value method is applied to regularize the unstable solution.
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Identification and regularization for unknown source for a time-fractional diffusion equation
TL;DR: This paper uses the method of truncated integration and the Fourier transform to construct regularized solutions and derive explicitly error estimate for time fractional diffusion equation inverse problem.
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On a Riesz–Feller space fractional backward diffusion problem with a nonlinear source
TL;DR: This paper proposes two new modified regularization solutions for a backward diffusion problem for a space-fractional diffusion equation with a nonlinear source in a strip and shows that the approximated problems are well-posed and their solutions converge if the original problem has a classical solution.