A predictor-corrector technique for constrained least-squares regularization

DOI10.1007/BF01400119zbMath0616.65062OpenAlexW1990759173MaRDI QIDQ1821511

Volkmar Friedrich, Bernd Hofmann

Publication date: 1987

Published in: Numerische Mathematik (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/133199

zbMATH Keywords

identificationBanach spaceill-posed problemsconstrained least-squares regularizationnonlinear, discretized, inverse problemspredictor-corrector type algorithm

Mathematics Subject Classification ID

Iterative procedures involving nonlinear operators (47J25) Numerical solutions to equations with nonlinear operators (65J15)

Related Items

Optimization aspects of the generalized discrepancy principle in regularization, On regularization and discretization control for the numerical solution of inverse problems in parabolic equations

Cites Work

• Optimization aspects of the generalized discrepancy principle in regularization
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• A completely automatic french curve: fitting spline functions by cross validation
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