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.OC2025
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
H. Gfrerer
In this paper we present GSSN, a globalized SCD semismooth* Newton method for solving nonsmooth nonconvex optimization problems. The global convergence properties of the method are…