Stable approximate evaluation of unbounded matrix operator and its application to an inverse problem
摘要
We introduce a two-parameter Tikhonov regularization method to approximate an ill-posed problem with an unbounded matrix operator. The existence and uniqueness of regularized solutions to the problem are derived. With an a priori as well as an a posteriori parameter choice strategy, convergence analysis of the regularized solution is presented. As an application, we apply the regularization to a simultaneous inversion of the source term and the initial value problem for a heat conduction equation, and numerical experiments are given to demonstrate the effectiveness of the proposed method.