Techniques for a priori Choice of Regularizing Parameters in Tikhonov Regularization

In this paper, we propose a new strategy for a priori choice of regularization parameters in Tikhonov’s regularization, based on the conditional stability estimate for illposed inverse problems. We show that it can be applied to a wide class of inverse problems. The convergence rate of the regularized solutions is also proved.