Lampe, JörgJörgLampeReichel, LotharLotharReichelVoß, HeinrichHeinrichVoß2019-09-182019-09-182011-09-23Linear Algebra and Its Applications 8 (436): 2845-2865 (2012)http://hdl.handle.net/11420/3378This paper presents a new approach to computing an approximate solution of Tikhonov-regularized large-scale ill-posed least-squares problems with a general regularization matrix. The iterative method applies a sequence of projections onto generalized Krylov subspaces. A suitable value of the regularization parameter is determined by the discrepancy principle.en0024-3795Linear algebra and its applications2011828452865American Elsevier Publ.Discrepancy principleGeneral-form Tikhonov regularizationIll-posednessLeast squaresMathematikLarge-scale Tikhonov regularization via reduction by orthogonal projectionJournal Article10.1016/j.laa.2011.07.019Other