Necessary and sufficient conditions for convergence of regularization methods for solving linear operator equations of the first kind
DOI10.1080/01630568108816087zbMath0472.65045OpenAlexW2049791992MaRDI QIDQ3925809
Publication date: 1981
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630568108816087
Hilbert spaceiterative methodsill-posed problemregularization methodsMoore-Penrose generalized inversebounded linear operatorTikhonov's methodparameter choice strategyconditions for strong and weak convergence
Numerical solutions to equations with linear operators (65J10) Equations and inequalities involving linear operators, with vector unknowns (47A50)
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