Publications of the year 2025

Articles (6)

1. M. Beckmann, J. Nickel.
   Optimized filter functions for filtered back projection reconstructions.
   Inverse Problems and Imaging, , 2025.

   DOI: 10.3934/ipi.2025003

2. B. Greve, N. Ahmed, M. Knauer, C. Wanigasekara, F. Sill Torres.
   Optimal Control of Maritime Container Terminal Operations for Effective Utilization of Resources.
   IEEE Transactions on Intelligent Transportation Systems, :1-16, 2025.

   DOI: 10.1109/TITS.2025.3555812

3. L. Kappertz, C. Büskens.
   Physics-Based Modelling of a Milk Cooling System for Intelligent Energy Management.
   Anwendungen und Konzepte in der Wirtschaftsinformatik (AKWI), 20, Open Source Veröffentlichungssystem, 2025.

   DOI: 10.26034/lu.akwi.2024.6231

4. D. Lorenz, E. Bednarczuk, T. H. Tran.
   Proximal Algorithms for a class of abstract convex functions.
   Set-Valued and Variational Analysis, 33(5):1-44, Springer Verlag, 2025.

   DOI: 10.1007/s11228-025-00743-9
   online at: https://arxiv.org/abs/2402.17072

5. D. Lorenz, M. Winkler.
   Minimal error momentum Bregman-Kaczmarz.
   Linear Algebra and its Applications, 709:416-448, Elsevier, 2025.

   DOI: 10.1016/j.laa.2025.01.024
   online at: https://arxiv.org/abs/2307.15435

6. M. Upadhyaya, S. Banert, A. B. Taylor, P. Giselsson.
   Automated tight Lyapunov analysis for first-order methods.
   Mathematical Programming, 209:133-170, 2025.

   DOI: 10.1007/s10107-024-02061-8
   online at: https://arxiv.org/abs/2302.06713

Proceedings (2)

1. L. Banz, A. Rademacher, D. Thiede.
   Goal-Oriented Error Estimates for Adaptive Mixed Finite Element Methods.
   ENUMATH 2023, 04.09. - 08.09.2023, Lisbon, Portugal.
   
2. A. Osmers, A. Rademacher, A. Schröder.
   Goal-oriented Adaptive Finite Cell Methods.
   ENUMATH 2023, 04.09. - 08.09.2023, Lisbon, Portugal.
   

Book Chapters (1)

1. N. Breustedt, P. Climaco, J. Garcke, J. Hamaekers, D. Lorenz, G. Kutyniok, R. Oerder, C. V. Shukla.
   On the interplay of subset selection and informed graph neural networks.
   Informed Machine Learning, Springer Verlag, 2025.

   DOI: 10.1007/978-3-031-83097-6
   online at: https://arxiv.org/abs/2306.10066

PhD/Habilitation Thesis (1)

1. E. Naldi.
   Investigating Degenerate Preconditioners for Proximal Point Algorithms.
   Dissertationsschrift, TU Braunschweig, 2025.

Preprints (4)

1. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Computing adjoint mismatch of linear maps.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2503.21361

2. J. Gödeke, P. Fernsel.
   New universal operator approximation theorem for encoder-decoder architectures (Preprint).
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2503.24092

3. M. Iske, H. Albers, T. Knopp, T. Kluth.
   Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/html/2501.05583v1

4. F. Schneppe, E. Naldi.
   The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2503.24141