Publikationen der AG Inverse Probleme und Bildverarbeitung

Zeitschriftenartikel (7)

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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