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Electronic Journal of Applied Mathematics
Article . 2024 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2024
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Reconstruct the Unknown Source on the Right Hand Side of Time Fractional Diffusion Equation with Caputo-Hadamard Derivative

Reconstruct the unknown source on the right hand side of time fractional diffusion equation with Caputo-Hadamard derivative
Authors: Ngo Ngoc Hung; Danh Hua Quoc Nam; Dinh Long Le;

Reconstruct the Unknown Source on the Right Hand Side of Time Fractional Diffusion Equation with Caputo-Hadamard Derivative

Abstract

The Caputo-Hadamard derivative was used to investigate the problem of functional recovery in this study. This problem is ill-posed, we propose a novel Quasi-reversibility for reconstructing the sought function and show that the regularization solution depends on space. After that, the convergence rates are established under a priori and posterior choice rules of regularization parameters, respectively.

Keywords

Parabolic equations and parabolic systems, Fixed-point theorems, parabolic equation, Heat equation, Nonlinear ill-posed problems, inverse source problem, error estimate, regularization method

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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!
2
Top 10%
Average
Average
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