Publikationen des Jahres 2024

Zeitschriftenartikel (14)

1. P. Berenbrink, M. Hoefer, D. Kaaser, P. Lenzner, M. Rau, D. Schmand.
   Asynchronous opinion dynamics in social networks.
   Distributed Computing, , 2024.
   (previously at AAMAS 2022)

   DOI: 10.1007/s00446-024-00467-3

2. N. Bertschinger, M. Hoefer, D. Schmand.
   Flow Allocation Games.
   Mathematics of Operations Research, :1-22, 2024.
   (previously at ITCS 2020)

   DOI: 10.1287/moor.2022.0355

3. C. Brauer, N. Breustedt, T. de Wolff, D. Lorenz.
   Learning variational models with unrolling and bilevel optimization.
   Analysis and Applications, 22(3):569-617, World Scientific, 2024.

   DOI: 10.1142/S0219530524400037
   online unter: https://arxiv.org/abs/2209.12651

4. B. Denkena, T. Suhrmann, A. Schmidt, S. Friebe, M. Adili.
   Rattern reduzieren durch NC- und FE-Simulation.
   wt Werkstattstechnik online, 1:21-27, 2024.

   DOI: 10.37544/1436–4980–2024–01–02–23

5. M. Eden, T. Freudenberg.
   Effective Heat Transfer Between a Porous Medium and a Fluid Layer: Homogenization and Simulation.
   Erscheint in Multiscale Modeling & Simulation: A SIAM interdisciplinary journal

   DOI: 10.48550/arXiv.2212.09291

6. D. Erzmann, S. Dittmer.
   Equivariant Neural Operators for gradient-Consistent Topology Optimization .
   Journal of Computational Design and Engineering, 11(3):91-100, 2024.

   DOI: 10.1093/jcde/qwae039

7. T. Freudenberg, M. Eden.
   Homogenization and simulation of heat transfer through a thin grain layer.
   Erscheint in Networks and Heterogeneous Media

   DOI: 10.48550/arXiv.2312.02704

8. R. Gower, D. Lorenz, M. Winkler.
   A Bregman-Kaczmarz method for nonlinear systems of equations.
   Computational Optimization and Applications, 87:1059-1098, 2024.

   DOI: 10.1007/s10589-023-00541-9
   online unter: https://arxiv.org/abs/2303.08549

9. M. Hoefer, K. Schewior, D. Schmand.
   Stochastic Probing with Increasing Precision.
   SIAM Journal on Discrete Mathematics, 28(1):148-169, SIAM, 2024.
   (previously at IJCAI 2021)

   DOI: 10.1137/22M149466X

10. M. Höffmann, S. Patel, C. Büskens.
    Optimal guidance track generation for precision agriculture: A review of coverage path planning techniques.
    Journal of Field Robotics, Wiley Online Library, , Wiley, 2024.

    DOI: 10.1002/rob.22286

11. J. Langhorst, K. W. Chan, C. Meerpohl, C. Büskens.
    Computing Safe Stop Trajectories for Autonomous Driving Utilizing Clustering and Parametric Optimization.
    MDPI Open Access Journals Vehicles, 6(2):590-610, 2024.

    online unter: https://www.mdpi.com/2624-8921/6/2/27

12. D. Lorenz, J. Marquardt, E. Naldi.
    The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal-dual Douglas-Rachford.
    Erscheint in Optimization

    DOI: 10.1080/02331934.2024.2325552
    online unter: https://arxiv.org/abs/2302.13128

13. T. Oosterwijk, D. Schmand, M. Schröder.
    Bicriteria Nash Flows over Time.
    Games and Economic Behavior, 147:19-37, 2024.
    (previously at WINE 2022)

    DOI: 10.1016/j.geb.2024.06.002

14. M. Upadhyaya, S. Banert, A. B. Taylor, P. Giselsson.
    Automated tight Lyapunov analysis for first-order methods.
    Erscheint in Mathematical Programming

    online unter: https://arxiv.org/abs/2302.06713

Tagungsbeiträge (3)

1. A. Constantinescu, P. Lenzner, R. Reiffenhäuser, D. Schmand, G. Varriccio.
   Solving Woeginger's Hiking Problem: Wonderful Partitions in Anonymous Hedonic Games.
   51st International Colloquium on Automata, Languages, and Programming (ICALP 2024).
   

   DOI: 10.4230/LIPIcs.ICALP.2024.48

2. M. Grobler, S. Maaz, N. Megow, A. E. Mouawad, V. Ramamoorthi, D. Schmand, S. Siebertz.
   Solution Discovery via Reconfiguration for Problems in P.
   51st International Colloquium on Automata, Languages, and Programming (ICALP 2024).
   

   DOI: 10.4230/LIPIcs.ICALP.2024.76

3. M. Höffmann, S. Roy, C. Wanigasekara, C. Büskens.
   Sensitivity Analysis of Wind Affected Maneuverability of Tugboat-Controlled Ships.
   2024 IEEE SICE International Symposium on Control Systems (SICE ISCS), 18-20 March 2024 , Japan , Higashi-Hiroshima.
   

   DOI: 10.23919/SICEISCS60954.2024.10505760

Qualifikationsarbeiten (3)

1. A. Denker.
   Invertible Neural Networks and Normalizing Flows for Image Reconstruction.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/2921

2. D. . Dobrovolskij.
   3D image analysis and microstructure models for simulation of materials properties.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3052

3. L. Kinzel.
   Unsupervised Deep Machine Learning Methods to Discriminate Icequakes in Seismological Data from Neumayer Station, Antarctica.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3013

Preprints (1)

1. D. Lorenz, M. Winkler, A. Leitão, J. C. Rabelo.
   On inertial levenberg-marquardt type methods for solving nonlinear ill-posed operator equations.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2406.07044