3 papers
math.NA2025
Randomized Krylov methods for inverse problems
Julianne Chung, Silvia Gazzola
In this paper we develop randomized Krylov subspace methods for efficiently computing regularized solutions to large-scale linear inverse problems. Building on the recently develop…
math.NA2025
Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems
Malena Sabaté Landman, Ariana N. Brown, Julianne Chung +1
Iterative Krylov projection methods have become widely used for solving large-scale linear inverse problems. However, methods based on orthogonality include the computation of inne…
math.NA2024
Inner Product Free Krylov Methods for Large-Scale Inverse Problems
Ariana N. Brown, Julianne Chung, James G. Nagy +1
In this study, we introduce two new Krylov subspace methods for solving rectangular large-scale linear inverse problems. The first approach is a modification of the Hessenberg iter…