Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective

DOI10.1016/j.cam.2005.10.038zbMath1101.65043OpenAlexW2068293302MaRDI QIDQ2508948

Daniela Calvetti

Publication date: 20 October 2006

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2005.10.038

zbMATH Keywords

numerical examplespreconditioningKrylov subspace iterative methodsBayesian statistical inversion

Mathematics Subject Classification ID

Related Items (18)

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Uses Software

• Regularization tools

Cites Work

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• A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
• Priorconditioners for linear systems
• Statistical elimination of boundary artefacts in image deblurring
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