Abstract
This paper presents a nonstationary iterated Tikhonov regularization method for the solution of large-scale Tikhonov minimization problems in general form. The method projects the large-scale problem into a sequence of generalized Krylov subspaces of low dimension. The regularization parameter is determined by the discrepancy principle. Numerical examples illustrate the effectiveness of the method.
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