Tikhonov regularization method for an inverse problem in the parabolic equation arising from groundwater pollution problem
Nguyen Huy Tuan, Le Dinh Long, Nguyen Van Thinh, Vo Anh Khoa, Trần Thanh Bình
Abstract
Nguyen Huy Tuan, Le Dinh Long, Nguyen Van Thinh, Vo Anh Khoa, Trần Thanh Bình
Abstract
In this paper, we consider an inverse problem to determine a heat source in a parabolic equation, where the data are obtained at a certain time. In general, this problem is ill-posed, therefore the Tikhonov regularization method is proposed to solve the problem. In the theoretical results, a priori error estimate between the exact solution and its regularized solutions is obtained. We also propose both methods, a priori and a posteriori parameter choice rules. In addition, the proposed methods have been verified by numerical experiments to estimate the errors between the regularized solutions and exact solutions. Eventually, from the numerical results it shows that the a posteriori parameter choice rule method gives a better the convergence speed in comparison with the a priori parameter choice rule method in some specific applications.
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In this paper, we consider an inverse problem to determine a heat source in a parabolic equation, where the data are obtained at a certain time. In general, this problem is ill-posed, therefore the Tikhonov regularization method is proposed to solve the problem. In the theoretical results, a priori error estimate between the exact solution and its regularized solutions is obtained. We also propose both methods, a priori and a posteriori parameter choice rules. In addition, the proposed methods have been verified by numerical experiments to estimate the errors between the regularized solutions and exact solutions. Eventually, from the numerical results it shows that the a posteriori parameter choice rule method gives a better the convergence speed in comparison with the a priori parameter choice rule method in some specific applications.
Key concepts: Tikhonov regularization, A priori and a posteriori, Inverse problem, Regularization (linguistics), Applied mathematics, Mathematics, Backus–Gilbert method, Mathematical optimization