Tikhonov Regularization of Large Linear Problems

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An iterative method for Tikhonov regularization with a general linear regularization operator (2010, background): “An attraction of Tikhonov regularization problems in standard form is that the computations required for determining a suitable value of the regularization parameter, say, by the discrepancy principle or the L-curve, are fairly simple; see [5, 6] for illustrations.”
Tikhonov regularization based on generalized Krylov subspace methods (2012, background): “Key words: ill-posed problem, regularization operator, Tikhonov regularization, multiparameter regularization”
Arnoldi-Tikhonov regularization methods (2009, methodology): “1: Computational work and quality of the approximnate solutions determined by the RRAT and RRGMRES methods for several values of l+, the AT method in [8] and the LBDT method in [9] applied to the solution of a discretization of (34).”