Augmented GMRES-type versus CGNE methods for the solution of linear ill-posed problems
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Publication:5218400
DOI10.1553/etna_vol51s412zbMath1437.65049OpenAlexW2990744319WikidataQ126652573 ScholiaQ126652573MaRDI QIDQ5218400
Publication date: 3 March 2020
Published in: ETNA - Electronic Transactions on Numerical Analysis (Search for Journal in Brave)
Full work available at URL: http://etna.mcs.kent.edu/volumes/2011-2020/vol51/abstract.php?vol=51&pages=412-431
Related Items (3)
Tensor Krylov subspace methods with an invertible linear transform product applied to image processing ⋮ Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure ⋮ Ill-posed problems and the conjugate gradient method: optimal convergence rates in the presence of discretization and modelling errors
Cites Work
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- On the regularizing properties of the GMRES method
- Enriched Krylov subspace methods for ill-posed problems
- Arnoldi decomposition, GMRES, and preconditioning for linear discrete ill-posed problems
- Augmented GMRES-type methods
- Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner
- Methods of conjugate gradients for solving linear systems
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