Publications of the year 2026

Articles (7)

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 at: 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 at: 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 at: https://epubs.siam.org/doi/full/10.1137/25M1772277

4. G. Kuhlmann, L. Langenhorst, M. Knauer, N. Guba, T. Hüsemann, C. Heinzel.
   Investigation of Surface Integrity Changes in Multistage Grinding with Interim Thermally Induced Material Modifications.
   Procedia CIRP, 144:55-60, 2026.

   DOI: 10.1016/j.procir.2026.02.095

5. 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 at: https://arxiv.org/abs/2406.07044

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

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

7. 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

Proceedings (3)

1. T. Schürenberg, S. Brenner, J. Dallant, L. Kleist, R. Lauff, T. Mütze.
   Hamilton paths and cycles in flip graphs of (almost-)perfect matchings.
   arxiv.
   

   DOI: 10.48550/arxiv.2607.04687
   online at: https://arxiv.org/abs/2607.04687

2. T. Schürenberg, J. Schade, J. Althoetmar.
   Complexity of Firefighting on Graphs.
   WG: International Workshop on Graph-Theoretic Concepts in Computer Science.
   

   DOI: 10.4230/LIPIcs.WG.2026.4

3. T. Schürenberg, M. J. Stahlberg.
   Blindfolded pursuit with delays of your choice.
   arxiv.
   

   DOI: 10.48550/arXiv.2608.27347
   online at: https://arxiv.org/abs/2608.27347

PhD/Habilitation Thesis (1)

1. T. Schürenberg.
   On the Complexity of Min-Max Star Partitioning and Firefighting, and the Impact of Selfish Behavior in Packet Routing.
   Dissertationsschrift, Universität Bremen, 2026.

   DOI: 10.26092/elib/6018

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