On the choice of the regularization parameter for iterated Tikhonov regularization of ill-posed problems
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Publication:1085952
DOI10.1016/0021-9045(87)90113-4zbMath0608.65033OpenAlexW2030398504MaRDI QIDQ1085952
Publication date: 1987
Published in: Journal of Approximation Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0021-9045(87)90113-4
regularizationHilbert spaceill-posed problemoptimal convergence rateiterated Tikhonov methodleast squares minimum norm solution
Numerical solutions to equations with linear operators (65J10) Equations and inequalities involving linear operators, with vector unknowns (47A50)
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Cites Work
- Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates
- Approximation of generalized inverses by iterated regularization
- Necessary and sufficient conditions for convergence of regularization methods for solving linear operator equations of the first kind
- On the asymptotic order of accuracy of Tikhonov regularization
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