1 code implementation • 28 May 2023 • Matthias J. Ehrhardt, Silvia Gazzola, Sebastian J. Scott
In this work, we provide a new condition that better characterizes positivity of optimal regularization parameters than the existing theory.
1 code implementation • 12 Jul 2019 • 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 problems by combining standard Tikhonov regularization and projection onto Krylov subspaces of increasing dimension (computed by the Golub-Kahan bidiagonalization algorithm).
Numerical Analysis Numerical Analysis
