MODIFIED DISCREPANCY PRINCIPLES WITH PERTURBED OPERATORS AND NOISY DATA

We investigate a class of a posterior parameter choice for iterated Tikhonov regularization with perturbed operators and noisy data by using modified Arcangeli's method. The rate of convergence of regularization approximation is achieved.