Ten lectures on wavelets
SIAM Review
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Near-Optimal Parameters for Tikhonov and Other Regularization Methods
SIAM Journal on Scientific Computing
Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
SIAM Journal on Matrix Analysis and Applications
ACM Transactions on Mathematical Software (TOMS)
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We present a modified version of the two-level iterative method proposed in [M. Hanke, R. Vogel, Two-level preconditioners for regularized inverse problems. I: Theory, Numerische Mathematik 83 (1999) 385-402]. Here, we propose the application of the two-level Schur complement CG on the unregularized problem and the introduction of the regularization process for solving only one of the linear systems produced by the algorithm. The modified algorithm is substantially cheaper and numerical examples show similar approximations in both cases. A novel basis for the coarse subspace is incorporated in the analysis. Numerical experiments for some test problems and a practical scattering problem are presented.