Publikationen des Jahres 2026

Zeitschriftenartikel (6)

1. S. Banert, C. Brauer, D. Lorenz, L. Tondji.
   Why the noise model matters: a performance gap in learned regularization.
   Inverse Problems, , 2026.

   DOI: 10.1088/1361-6420/ae3f4c
   online unter: https://arxiv.org/abs/2510.12521

2. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Computing adjoint mismatch of linear maps.
   Journal of Computational and Applied Mathematics, 488, 117853, 2026.

   DOI: 10.1016/j.cam.2026.117853
   online unter: https://arxiv.org/abs/2503.21361

3. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Matrix-free stochastic calculation of operator norms without using adjoints.
   SIAM Journal on Matrix Analysis and Applications, 47(3):1349--137, SIAM, 2026.

   DOI: 10.1137/25M1772277
   online unter: https://epubs.siam.org/doi/full/10.1137/25M1772277

4. D. Lorenz, M. Winkler, A. Leitão, J. C. Rabelo.
   On inertial Levenberg-Marquardt type methods for solving nonlinear ill-posed operator equations.
   IMA Journal of Numerical Analysis, , Oxford University Press, 2026.

   DOI: 10.1093/imanum/drag017
   online unter: https://arxiv.org/abs/2406.07044

5. F. Schneppe, E. Naldi.
   The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method.
   Optimization, , 1–38 S., Taylor & Francis, 2026.

   DOI: 10.1080/02331934.2026.2692689
   online unter: https://www.tandfonline.com/doi/citedby/10.1080/02331934.2026.2692689

6. F. Wiesener, T. Freudenberg, B. Bergmann, A. Rademacher, A. Schmidt, M. Eden, K. M. Heide.
   A multiscale simulation approach for grinding processes: grain engagement, heat generation, and coolant interaction.
   Production Engineering, 20:31 :1-19, Springer Verlag, 2026. published online

   DOI: 10.1007/s11740-025-01389-0

Preprints (2)

1. A. Behrens, M. Iske, M. Jiang, P. Maaß, S. Neumayer.
   A remark on an error analysis for classical and learned Tikhonov regularization schemes.
   Zur Veröffentlichung eingereicht.

   DOI: 10.48550/arXiv.2604.00759

2. L. Happ, S. Hendricks, C. M. Albrecht, L. Kaleschke, S. Patil, R. Fellegara, D. Lorenz.
   Advancing Sea Ice Surface Classification by Self-Supervised Contrastive Learning for Radar Altimetry.
   Zur Veröffentlichung eingereicht.

   DOI: 10.36227/techrxiv.176823164.49511515/v1