Lionel Tondji

Projekte

1. Training Data Driven Experts in Optimization (01.06.2020 - 01.12.2024)

Veranstaltungen (Auswahl)vollständige Liste

1. Selected Topics on Optimization for Machine Learning (Sommersemester 2024)

Publikationen (Auswahl)vollständige Liste

1. D. Lorenz, F. Schneppe, L. Tondji.
   Linearly convergent adjoint free solution of least squares problems by random descent.
   Inverse Problems, 39(12), 125019, 2023.

   DOI: 10.1088/1361-6420/ad08ed
   online unter: https://arxiv.org/abs/2306.01946

2. L. Tondji, D. Lorenz, I. Necoara.
   An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization.
   2023 European Control Conference (ECC).
   

   DOI: 10.23919/ECC57647.2023.10178390

3. L. Tondji, I. Necoara, D. Lorenz.
   Acceleration and restart for the randomized Bregman-Kaczmarz method.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2310.17338

4. L. Tondji, I. Tondji, D. Lorenz.
   Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly.
   Zur Veröffentlichung eingereicht.

   online unter: https://arxiv.org/abs/2309.06186

5. 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