On stable finite dimensional approximation of conditionally well-posed inverse problems

DOI10.1088/0266-5611/32/10/105007zbMath1353.65051OpenAlexW2513054308MaRDI QIDQ2832563

Mikhail Yu. Kokurin

Publication date: 11 November 2016

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

Full work available at URL: https://doi.org/10.1088/0266-5611/32/10/105007

zbMATH Keywords

stabilityconvergencelocal minimuminverse problemHilbert spaceill-posed problemconditionally well-posed problemgradient projection methodquasisolution methodfinite dimensional subspace

Mathematics Subject Classification ID

Iterative procedures involving nonlinear operators (47J25) Nonlinear ill-posed problems (47J06) Numerical solutions to equations with nonlinear operators (65J15) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (4)

An asymptotical regularization with convex constraints for inverse problems ⋮ On the global minimization of discretized residual functionals of conditionally well-posed inverse problems ⋮ On the clustering of stationary points of Tikhonov's functional for conditionally well-posed inverse problems ⋮ Quasi-solution method and global minimization of the residual functional in conditionally well-posed inverse problems

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