Stochastic asymptotical regularization for linear inverse problems

DOI10.1088/1361-6420/aca70fOpenAlexW4312067923MaRDI QIDQ5055344

Publication date: 13 December 2022

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

Full work available at URL: https://arxiv.org/abs/2201.09411

zbMATH Keywords

convergence rates regularization ill-posed problems stochastic uncertainty quantification

Mathematics Subject Classification ID

General (adjoints, conjugates, products, inverses, domains, ranges, etc.) (47A05) Linear operators and ill-posed problems, regularization (47A52)

Related Items (4)

Translation invariant diagonal frame decomposition of inverse problems and their regularization ⋮ Stochastic linear regularization methods: random discrepancy principle and applications ⋮ On a class of linear regression methods ⋮ A Tikhonov regularization method for Cauchy problem based on a new relaxation model

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