Publikationen des Jahres 2022
Zeitschriftenartikel (24)
- 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 - 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. - C. Arndt.
Regularization Theory of the Analytic Deep Prior Approach.
Inverse Problems, 38(11), 2022. - 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
- 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
- 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. - 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
- 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 - S. Dittmer, C. Schönlieb, P. Maaß.
Ground Truth Free Denoising by Optimal Transport.
Erscheint in Numerical Algebra, Control, and Optimizationonline unter: https://arxiv.org/abs/2007.01575
- 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
- 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. - 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
- 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 - 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. - 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. - 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 - 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 - 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. - 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. - 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 - I. Mykhailiuk, K. Schäfer, C. Büskens.
Parametric stability score and its application in optimal control.
IFAC-PapersOnLine, 55(16):172-177, Elsevier, 2022. - 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 - 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. - 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