3 papers
math.NA2026
Approximating matrix functions by block Krylov methods with randomized vectors
Josh Kane, Lucas Onisk, Lothar Reichel +1
The need to evaluate expressions of the form , where is a square matrix, is a function, and is a vector, arises in several areas of applied mat…
math.NA2026
Iterated Tikhonov regularization of large linear problems
Davide Furchì, Lothar Reichel
Many solution methods for linear discrete ill-posed problems with error-contaminated data (right-hand side) apply Tikhonov regularization to compute a meaningful approximate soluti…
math.NA2025
The iterated Golub-Kahan-Tikhonov method
Davide Bianchi, Marco Donatelli, Davide Furchì +1
The Golub-Kahan-Tikhonov method is a popular solution technique for large linear discrete ill-posed problems. This method first applies partial Golub-Kahan bidiagonalization to red…