2008
DOI: 10.1016/j.jmaa.2008.04.064
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A non-local boundary value problem method for parabolic equations backward in time

Abstract: The ill-posed parabolic equation backward in timewith the positive self-adjoint unbounded operator A and E > > 0 being given is regularized by the well-posed non-local boundary value problemThe error estimates of Hölder type of the regularized solutions are obtained. These estimates improve the related results by Mel'nikova, Denche and Bessila.

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Cited by 51 publications
(15 citation statements)
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“…Thus, our present paper significantly contributes to the method of non-local boundary methods for ill-posed problems. We note also that this method has been successfully applied to parabolic equations backward in time [4,5,11,14,15,20].…”
Section: Introductionmentioning
confidence: 86%
“…Thus, our present paper significantly contributes to the method of non-local boundary methods for ill-posed problems. We note also that this method has been successfully applied to parabolic equations backward in time [4,5,11,14,15,20].…”
Section: Introductionmentioning
confidence: 86%
“…It changes the final time condition by a new approximate condition to deduce a well-posed initial boundary value problem for partial differential equation. The best convergence rate in L 2 norm is O(δ 1/2 ), see [7,8,26] for solving backward problems of parabolic equations and see [32,43] for solving backward problems of fractional diffusion equations. If γ = 1, it is called a modified quasiboundary value method, refer to [4] for solving the backward problem for parabolic equation and see [36] for solving the inverse source problem of fractional diffusion equation where an optimal convergence order O(δ 2/3 ) in L 2 norm is obtained.…”
Section: A Generalized Quasi-boundary Value Regularization Methods An...mentioning
confidence: 99%
“…The quasi-boundary value regularization method, also called nonlocal boundary value regularization method in Hào et al [22], is a classical regularization technique by replacing the boundary condition or final condition by a new approximate condition. This regularization method has been used to solve many inverse problems such as the inverse source problem [23], the Cauchy problem [24,25], and the backward problem [26,27]. In addition, there are two improved versions of the quasi-boundary value regularization method, the modified quasi-boundary value regularization method [28], and the generalized quasi-boundary value regularization method [19].…”
Section: Introductionmentioning
confidence: 99%