A higher order approximation technique for restricted linear least-squares problems
DOI10.1017/S0004972700004226zbMath0637.65052OpenAlexW2157749237MaRDI QIDQ3777341
Heinz W. Engl, Charles W. Groetsch
Publication date: 1988
Published in: Bulletin of the Australian Mathematical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0004972700004226
Hilbert spacesconvergence ratelinear ill-posed problemsleast squares solutioniterated Tikhonov regularizationequality constrained linear least-squares problems
Numerical methods for integral equations (65R20) Numerical solutions to equations with linear operators (65J10) Equations and inequalities involving linear operators, with vector unknowns (47A50) Fredholm integral equations (45B05)
Cites Work
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- On the choice of the regularization parameter for iterated Tikhonov regularization of ill-posed problems
- The method of weighting and approximation of restricted pseudosolutions
- Regularization with differential operators. I: General theory
- A Method for Solving Ill-Posed Linear Operator Equations
- Approximation of generalized inverses by iterated regularization
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