Optimization aspects of the generalized discrepancy principle in regularization

The generalized discrepancy principle in regularization is investigated from the optimization point of view. Tikhonov's regularization method can be considered as a Lagrange multiplier method. This approach allows formulating a search algorithm for choosing the regularization parameter. Moreover, the developed relations may force the introduction of negative regularization parameters for realizing the generalized discrepancy principle.