2 papers
math.NA2026
Efficient TV regularization of large-scale linear inverse problems via the SCD semismooth* Newton method with applications in tomography
Helmut Gfrerer, Simon Hubmer, Stefan Kindermann +3
In this paper, we consider the efficient numerical minimization of Tikhonov functionals resulting from total-variation (TV) regularization of linear inverse problems. Since the TV…
math.NA2026
Regularization of linear inverse problems by rational Krylov methods
Stefan Kindermann
For approximately solving linear ill-posed problems in Hilbert spaces, we investigate the regularization properties of the aggregation method and the RatCG method. These recent alg…