3 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
On a PDE-based material parameter identification problem with contact constraints
Simon Hubmer, Stefan Kindermann, Ekaterina Sherina
We consider the identification of a scalar coefficient in a PDE-based parameter estimation problem with contact constraints. The considered problem can be used as an idealized mode…
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…