Special regularizing methods for ill-posed problems with sourcewise represented solutions

DOI10.1088/0266-5611/14/6/012zbMath0916.65056OpenAlexW2160179095MaRDI QIDQ4225511

Anatoly G. Yagola, Alexander S. Leonov

Publication date: 6 July 1999

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/14/6/012

zbMATH Keywords

error estimatesHilbert spacesTikhonov regularizationdiscrepancy principlelinear ill-posed problemsminimum norm solutionparameter choice strategyquasisolution method

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Equations and inequalities involving linear operators, with vector unknowns (47A50) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20)

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The method of extending compacts and a posteriori error estimates for nonlinear ill-posed problems ⋮ The problems of linear and quadratic programming for ill-posed problems on some compact sets ⋮ On application of asymptotic generalized discrepancy principle to the analysis of epidemiology models

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