Theory and Applications of Fractional Differential Equations, Volume 204 (North-Holland Mathematics Studies)
Stable numerical solution of a fractional-diffusion inverse heat conduction problem
Computers & Mathematics with Applications
Finite difference/spectral approximations for the time-fractional diffusion equation
Journal of Computational Physics
Numerical treatment of fractional heat equations
Applied Numerical Mathematics
Implicit finite difference approximation for time fractional diffusion equations
Computers & Mathematics with Applications
Time fractional IHCP with Caputo fractional derivatives
Computers & Mathematics with Applications
Application of the variational iteration method to inverse heat source problems
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Solving the inverse problem of identifying an unknown source term in a parabolic equation
Computers & Mathematics with Applications
High-order finite element methods for time-fractional partial differential equations
Journal of Computational and Applied Mathematics
A new regularization method for a Cauchy problem of the time fractional diffusion equation
Advances in Computational Mathematics
Applied Numerical Mathematics
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In this paper, we consider an inverse source problem for a time-fractional diffusion equation with variable coefficients in a general bounded domain. That is to determine a space-dependent source term in the time-fractional diffusion equation from a noisy final data. Based on a series expression of the solution, we can transform the original inverse problem into a first kind integral equation. The uniqueness and a conditional stability for the space-dependent source term can be obtained. Further, we propose a modified quasi-boundary value regularization method to deal with the inverse source problem and obtain two kinds of convergence rates by using an a priori and an a posteriori regularization parameter choice rule, respectively. Numerical examples in one-dimensional and two-dimensional cases are provided to show the effectiveness of the proposed method.