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ZeTeM > Forschung und Anwendungen > Publikationen

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Publikationen des Jahres 2022

Monografien (1)

  1. H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.).
    German Success Stories in Industrial Mathematics .
    Mathematics in Industrie, 167 Seiten, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7

Zeitschriftenartikel (25)

  1. H. Albers, T. Kluth, T. Knopp.
    Simulating magnetization dynamics of large ensembles of single domain nanoparticles: Numerical study of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 541, 168508, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168508
    online unter: https://www.sciencedirect.com/science/article/abs/pii/S0304885321007678

  2. H. Albers, T. Knopp, M. Möddel, M. Boberg, T. Kluth.
    Modeling the magnetization dynamics for large ensembles of immobilized magnetic nanoparticles in multi-dimensional magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 543, 168534, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168534

  3. C. Arndt.
    Regularization Theory of the Analytic Deep Prior Approach.
    Inverse Problems, 38(11), 2022.

    DOI: 10.1088/1361-6420/ac9011

  4. C. Arndt, A. Denker, J. Nickel, J. Leuschner, M. Schmidt, G. Rigaud.
    In Focus - hybrid deep learning approaches to the HDC2021 challenge.
    Inverse Problems and Imaging, , 2022.

    DOI: 10.3934/ipi.2022061

  5. S. Arridge, P. Fernsel, A. Hauptmann.
    Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.
    Inverse Problems and Imaging, 16(3):483-523, 2022.

    DOI: 10.3934/ipi.2021059

  6. R. Barbano, J. Leuschner, M. Schmidt, A. Denker, A. Hauptmann, P. Maaß, B. Jin.
    An Educated Warm Start For Deep Image Prior-based Micro CT Reconstruction.
    IEEE Transactions on Computational Imaging, 8:1210-1222, 2022.

    DOI: 10.1109/TCI.2022.3233188

  7. M. Beckmann, A. Bhandari, F. Krahmer.
    The Modulo Radon Transform: Theory, Algorithms and Applications.
    SIAM Journal on Imaging Sciences, 15(2):455-490, 2022.

    DOI: 10.1137/21M1424615

  8. K. Bredies, E. Chenchene, D. Lorenz, E. Naldi.
    Degenerate preconditioned proximal point algorithms.
    SIAM Journal on Optimization, 32(3), 2022.

    DOI: 10.1137/21M1448112
    online unter: https://arxiv.org/abs/2109.11481

  9. S. Dittmer, C. Schönlieb, P. Maaß.
    Ground Truth Free Denoising by Optimal Transport.
    Erscheint in Numerical Algebra, Control, and Optimization

    online unter: https://arxiv.org/abs/2007.01575

  10. M. Eden, H. S. Mahato.
    Homogenization of a Poroelasticity Model for Fibre-Reinforced Hydrogels.
    Mathematical Methods in the Applied Sciences, 45(17):11562-11580, 2022.

    DOI: 10.1002/mma.8466

  11. T. Franz, C. Seidl, P. M. Fischer, A. Gerndt.
    Utilizing Multi-level Concepts for Multi-phase Modeling.
    Software and Systems Modeling Journal , 21, 1665–1683, Springer Verlag, 2022.

    DOI: 10.1007/s10270-021-00963-1

  12. S. Frickenhaus, D. Ransby, M. Shupe, R. Jaiser, M. Nicolaus.
    Data from the MOSAiC Arctic Ocean drift experiment.
    Scientific Data, 9(568), 3 p., 2022.

    online unter: https://www.nature.com/articles/s41597-022-01678-8

  13. D. Ghilli, D. Lorenz, E. Resmerita.
    Nonconvex flexible sparsity regularization: theory and monotone numerical schemes.
    Optimization, 71(4):1114-1140, 2022.

    DOI: 10.1080/02331934.2021.2011869
    online unter: https://arxiv.org/abs/2111.06281

  14. S. Grützner, A. Muntean.
    Identifying Processes Governing Damage Evolution in Quasi-Static Elasticity. Part 2 – Numerical Simulations.
    Advances in Mathematical Sciences and Applications, 31(1):147-173, 2022.
  15. C. Janßen, T. Boskamp, L. Hauberg-Lotte, J. Behrmann, S. Deininger, M. Kriegsmann, K. Kriegsmann, G. Steinbuß, H. Winter, T. Muley, R. Casadonte, J. Kriegsmann, P. Maaß.
    Robust subtyping of non-small cell lung cancer whole sections through MALDI mass spectrometry imaging.
    Proteomics - Clinical Applications, PRCA2208 , 2022.

    DOI: 10.1002/prca.202100068

  16. D. Lorenz, H. Mahler.
    Orlicz space regularization of continuous optimal transport problems.
    Applied Mathematics & Optimization, 85(14), 2022.

    DOI: 10.1007/s00245-022-09826-7
    online unter: https://arxiv.org/abs/2004.11574

  17. D. Lorenz, L. Tondji.
    Faster randomized block sparse Kaczmarz by averaging.
    Numerical Algorithms, 91:1417-1451, 2022.

    DOI: 10.1007/s11075-022-01473-x
    online unter: https://arxiv.org/abs/2203.10838

  18. L. Lüttgens, B. Jurgelucks, H. Wernsing, S. Roy, C. Büskens, K. Flaßkamp.
    Autonomous navigation of ships by combining optimal trajectory planning with informed graph search.
    Mathematical and Computer Modelling of Dynamical Systems, 28(1):1-27, 2022.

    DOI: 10.1080/13873954.2021.2007138

  19. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

  20. A. Mikhaylenko, N. Rauter, N. K. Bellam Muralidhar, T. Barth, D. Lorenz, R. Lammering.
    Numerical analysis of the main wave propagation characteristics in a steel-CFRP laminate including model order reduction.
    Acoustics, 4(3):517-537, 2022.

    DOI: 10.3390/acoustics4030032
    online unter: https://arxiv.org/abs/2206.04329

  21. I. Mykhailiuk, K. Schäfer, C. Büskens.
    Parametric stability score and its application in optimal control.
    IFAC-PapersOnLine, 55(16):172-177, Elsevier, 2022.

    DOI: 10.1016/j.ifacol.2022.09.019

  22. D. Nganyu Tanyu, D. Schulz, T. Tatietse, T. Lukong.
    Long Term Electricity Load Forecast Based on Machine Learning for Cameroon’s Power System.
    Energy and Environment Research, 12(1), 2022.

    DOI: 10.5539/eer.v12n1p45
    online unter: https://ccsenet.org/journal/index.php/eer/article/view/0/47276

  23. D. Schmand, M. Schröder, L. Vargas Koch.
    A greedy algorithm for the social golfer and the Oberwolfach problem.
    European Journal of Operational Research, 300(1):310-319, Elsevier, 2022.

    DOI: 10.1016/j.ejor.2021.09.018

  24. F. Schöpfer, D. Lorenz, L. Tondji, M. Winkler.
    Extended randomized Kaczmarz method for sparse least squares and impulsive noise problems.
    Linear Algebra and its Applications, 652:132-154, 2022.

    DOI: 10.1016/j.laa.2022.07.003
    online unter: https://arxiv.org/abs/2201.08620

  25. D. Zvegincev.
    A Tikhonov approach to level set curvature computation.
    ArXiv, arXiv:2203.12558 [math.NA] , 2022.

    DOI: 10.48550/arXiv.2203.12558

Tagungsbeiträge (13)

  1. H. Albers, T. Kluth.
    Immobilized nanoparticles with uniaxial anisotropy in multi-dimensional lissajous-type excitation: An equilibrium model approach.
    International Workshop on Magnetic Particle Imaging, 21.03.-23.03.2022, University of Würzburg, Deutschland.
    International Journal on Magnetic Particle Imaging, 8(1):4 pages, 2022.

    DOI: 10.18416/IJMPI.2022.2203048

  2. M. Beckmann, A. Bhandari.
    MR. TOMP: Inversion of the Modulo Radon Transform (MRT) via Orthogonal Matching Pursuit (OMP).
    2022 IEEE International Conference on Image Processing (ICIP), 16.10.-19.10.2022.
  3. P. Berenbrink, M. Hoefer, D. Kaaser, P. Lenzner, M. Rau, D. Schmand.
    Asynchronous Opinion Dynamics in Social Networks.
    21st International Joint Conference on Autonomous Agents & Multiagent Systems (AAMAS 2022), Auckland, Neuseeland.

    online unter: https://dl.acm.org/doi/10.5555/3535850.3535864

  4. B. Bergmann, M. Wichmann, A. Schmidt, M. Eden, D. Zvegincev.
    Modelling of cooling effects in tool grinding using a multi-scale material removal and fluid simulation.
    CIRP Winter Meetings, STC G - Grinding, 18.02.2022, Paris, Frankreich.
  5. A. Folkers, C. Wellhausen, M. Rick, X. Li, L. Evers, V. Schwarting, J. Clemens, P. Dittmann, M. Shubbak, T. Bustert, G. Zachmann, K. Schill, C. Büskens.
    The OPA3L System and Testconcept for Urban Autonomous Driving.
    25th IEEE International Conference on Intelligent Transportation Systems, 08.10.-12.10.2022.

    DOI: 10.1109/ITSC55140.2022.9922416
    online unter: https://ieeexplore.ieee.org/document/9922416

  6. M. Höffmann, J. Clemens, D. Stronzek-Pfeifer, R. Simonelli, A. Serov, S. Schettino, M. Runge, K. Schill, C. Büskens.
    Coverage Path Planning and Precise Localization for Autonomous Lawn Mowers.
    IEEE 6th International Conference on Robotic Computing (IRC), 05.12.-07.12.2022.
    Proceedings of International Conference on Robotic Computing, S. 238-242, 2022.

    DOI: 10.1109/IRC55401.2022.00046
    online unter: https://ieeexplore.ieee.org/document/10023754

  7. M. Höffmann, S. Patel, C. Büskens.
    Weight-Optimized NURBS Curves: Headland Paths for Nonholonomic Field Robots.
    2022 8th International Conference on Automation, Robotics and Applications (ICARA), 18.02.2022 - 20.02.2022.
    Proceedings of the 8th International Conference on Automation, Robotics and Applications, S. 81-85, 2022.

    DOI: 10.1109/ICARA55094.2022.9738525
    online unter: https://ieeexplore.ieee.org/document/9738525

  8. A. Kovalov, G. Patil, V. Bansal, A. Gerndt.
    Model Checking Message Delivery Times in SpaceWire Networks.
    SAM2022, 24.10.-25.10.2022, Montreal, Kanada.

    DOI: 10.1145/3550356.3561546
    online unter: https://dl.acm.org/doi/10.1145/3550356.3561546

  9. A. Mallek, D. Klosa, C. Büskens.
    Enhanced K-Nearest Neighbor Model For Multi-steps Traffic Flow Forecast in Urban Roads.
    8th IEEE International Smart Cities Conference, 26.09-29.09.2022.
    Paphos, Cyprus, IEEE Xplore, S. 1-5, 2022.

    DOI: 10.1109/ISC255366.2022.9921897

  10. M. Nitzsche, H. Albers, T. Kluth, B. Hahn.
    Compensating model imperfections during image reconstruction via resesop.
    International Workshop on Magnetic Particle Imaging, 21.03.-23.03.2022, University of Würzburg, Deutschland.
    International Journal on Magnetic Particle Imaging, 8(1):4 pages, 2022.

    DOI: 10.18416/IJMPI.2022.2203062

  11. T. Oosterwijk, D. Schmand, M. Schröder.
    Bicriteria Nash Flows over Time.
    18th International Conference on Web and Internet Economics (WINE 2022).

    DOI: 10.48550/arXiv.2111.08589

  12. S. Schneegans, J. Gilg, V. Ahlers, A. Gerndt.
    Real-Time Rendering of Eclipses without Incorporation of Atmospheric Effects.
    Pacific Graphics, Hybrid Event, Computer Graphics Forum, 05-08.10.2022, Kyoto, Japan.

    DOI: 10.1111/cgf.14676
    online unter: https://diglib.eg.org:443/handle/10.1111/cgf14676

  13. S. Schneegans, M. Zeumer, J. Gilg, A. Gerndt.
    CosmoScout VR – A Modular 3D Solar System Based on SPICE.
    IEEE Aerospace Conference, Hybride Event, Big Sky, MT, 05.-12.03.2022.

    DOI: 10.1109/AERO53065.2022.9843488

Buchkapitel (4)

  1. J. Behrmann, M. Schmidt, J. Wildner, P. Maaß, S. Schmale.
    Purity Assessment of Pellets Using Deep Learning.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.), Mathematics in Industry, S. 29-34, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_6

  2. M. Knauer, C. Büskens.
    WORHP: Development and Applications of the ESA NLP solver.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.), Mathematics in Industry, vol 35, S. 155-160, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_25

  3. P. Maaß, S. Dittmer, T. Kluth, J. Leuschner, M. Schmidt.
    Mathematische Architekturen für Neuronale Netze.
    Erfolgsformeln – Anwendungen der Mathematik, M. Ehrhardt, M. Günther, W. Schilders (Hrsg.), Mathematische Semesterberichte, S. 190-195, Springer Verlag, 2022.

    DOI: 10.1007/s00591-022-00325-y

  4. P. Maaß, L. Hauberg-Lotte, T. Boskamp.
    MALDI Imaging: Exploring the Molecular Landscape.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Hrsg.), Mathematics in Industry, S. 97-103, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_17

Qualifikationsarbeiten (5)

  1. K. W. Chan.
    Optimization-based reachability analysis for landing scenarios.
    Dissertationsschrift, Universität Bremen, 2022.

    DOI: 10.26092/elib/1922

  2. P. Fernsel.
    Nonnegative Matrix Factorization: Theory, Algorithms and Applications.
    Dissertationsschrift, Universität Bremen, 2022.

    DOI: 10.26092/elib/1493
    online unter: https://doi.org/10.26092/elib/1493

  3. S. Grützner.
    Identification of processes governing damage evolution in linear-elastic continua.
    Dissertationsschrift, Universität Bremen, 2022.

    DOI: 10.26092/elib/1527

  4. M. Schmidt.
    Hybrid Deep Learning: How Combining Data-Driven and Model-Based Approaches Solves Inverse Problems in Computed Tomography and Beyond.
    Dissertationsschrift, Universität Bremen, 2022.

    DOI: 10.26092/elib/1941

  5. S. Schulze.
    Blind source separation in single-channel polyphonic music recordings.
    Dissertationsschrift, Universität Bremen, 2022.

    online unter: https://media.suub.uni-bremen.de/handle/elib/5816

Preprints (4)

  1. R. Barbano, J. Leuschner, J. Antorán, B. Jin, J. M. Hernández-Lobato.
    Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2207.05714

  2. S. Dittmer, D. Erzmann, H. Harms, P. Maaß.
    SELTO: Sample-Efficient Learned Topology Optimization.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2209.05098

  3. T. Grossmann, S. Dittmer, Y. Korolev, C. Schönlieb.
    Unsupervised Learning of the Total Variation Flow.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2206.04406#

  4. S. Schulze, E. King.
    Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration.
    Zur Veröffentlichung eingereicht.

    online unter: https://doi.org/10.48550/arXiv.2202.08082