Accuracy estimation for a class of iteratively regularized Gauss-Newton methods with a posteriori stopping rule

DOI10.1134/S0965542521120083zbMath1480.65132OpenAlexW4206280523WikidataQ114075113 ScholiaQ114075113MaRDI QIDQ2066323

Mikhail M. Kokurin

Publication date: 14 January 2022

Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0965542521120083

zbMATH Keywords

Hilbert spaceiterative regularizationoperator equationirregular operatorGauss-Newton methodsaccuracy estimationa posteriori stopping rule

Mathematics Subject Classification ID

Numerical solutions to equations with nonlinear operators (65J15) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20)

Cites Work

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• Definitions and examples of inverse and ill-posed problems
• ON APPLICATION OF GENERALIZED DISCREPANCY PRINCIPLE TO ITERATIVE METHODS FOR NONLINEAR ILL-POSED PROBLEMS

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