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math.NA2023
Flexible Krylov Methods for Group Sparsity Regularization
Julianne Chung, Malena Sabaté Landman
This paper introduces new solvers for efficiently computing solutions to large-scale inverse problems with group sparsity regularization, including both non-overlapping and overlap…
math.NA2021
Regularization by inexact Krylov methods with applications to blind deblurring
Silvia Gazzola, Malena Sabaté Landman
This paper is concerned with the regularization of large-scale discrete inverse problems by means of inexact Krylov methods. Specifically, we derive two new inexact Krylov methods…
math.NA2019★ 1 cited
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems
Silvia Gazzola, Malena Sabate Landman
This paper derives a new class of adaptive regularization parameter choice strategies that can be effectively and efficiently applied when regularizing large-scale linear inverse p…