Publikationen von Dr. Maximilian Winkler

Zeitschriftenartikel (6)

1. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Computing adjoint mismatch of linear maps.
   Journal of Computational and Applied Mathematics, 488, 117853, 2026.

   DOI: 10.1016/j.cam.2026.117853
   online unter: https://arxiv.org/abs/2503.21361

2. J. Bresch, D. Lorenz, F. Schneppe, M. Winkler.
   Matrix-free stochastic calculation of operator norms without using adjoints.
   SIAM Journal on Matrix Analysis and Applications, 47(3):1349--137, SIAM, 2026.

   DOI: 10.1137/25M1772277
   online unter: https://epubs.siam.org/doi/full/10.1137/25M1772277

3. D. Lorenz, M. Winkler, A. Leitão, J. C. Rabelo.
   On inertial Levenberg-Marquardt type methods for solving nonlinear ill-posed operator equations.
   IMA Journal of Numerical Analysis, , Oxford University Press, 2026.

   DOI: 10.1093/imanum/drag017
   online unter: https://arxiv.org/abs/2406.07044

4. 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 unter: https://arxiv.org/abs/2307.15435

5. 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

6. 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

Qualifikationsarbeiten (1)

1. M. Winkler.
   The Bregman-Kaczmarz Method: Inconsistency, Acceleration and Nonlinearity.
   Dissertationsschrift, TU Braunschweig, 2024.