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Name: Silvia Gazzola
Type: User
Name: Silvia Gazzola
Type: User
MATLAB functions for solving linear inverse problems through a combination of Tikhonov and TV regularization terms, subject to a constraint on the noise affecting the data. The Tikhonov regularization term is weighted by a regularization parameter that can be set adaptively.
MATLAB functions implementing and testing the methods described in: Silvia Gazzola and Malena Sabate Landman, Adaptive Regularization Parameter Choice Rules for Large-Scale Problems, arXiv 1907.05666, 2019. To soon appear in GAMM-Mitteilungen. To be used in connection with IR Tools.
MATLAB functions and script implementing the method described in the linked paper. To be used as an add-on to IR Tools; uses some functions from AIR Tools II.
New solvers based on Flexible Golub-Kahan for edge enhancement in inverse problems in imaging.
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.
Selected software implementing new Krylov solvers for low-rank regularization; to be used in connection with IR Tools.
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