A discrepancy-based parameter adaptation and stopping rule for minimization algorithms aiming at Tikhonov-type regularization
DOI10.1088/0266-5611/29/2/025008zbMATH Open1272.65046OpenAlexW2034083317WikidataQ57561977 ScholiaQ57561977MaRDI QIDQ4917601
Publication date: 2 May 2013
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: http://unipub.uni-graz.at/doi/doi:10.1088/0266-5611/29/2/025008
numerical exampleiterative algorithmsstopping ruleTikhonov-type regularizationMorozov discrepancy principleminimization algorithmsdiscrepancy-based parameter choice
Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)
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