Discrepancy principles for Tikhonov regularization of ill-posed problems leading to optimal convergence rates

DOI10.1007/BF00941281zbMath0586.65045OpenAlexW2036695884MaRDI QIDQ1071480

Publication date: 1987

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00941281

zbMATH Keywords

noisy data Tikhonov regularization discrepancy principle optimal convergence rates least-square solution a posteriori parameter choice strategies ill- posed minimal-norm

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Equations and inequalities involving linear operators, with vector unknowns (47A50)

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