Steven-Marian Stengl
researcher at TUB since June 2022📬 Contact
office | Room 1356 at ZIB |
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stengl (at) zib.de stengl (at) math.tu-berlin.de |
🎓 Academic Background
Jun 2017 | M.Sc. in Mathematics at HUB |
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🔬 Research
Preprints
- Stengl, S.-M., Gelß, P., Klus, S., and Pokutta, S. (2023). Existence and Uniqueness of Solutions of the Koopman–von Neumann Equation on Bounded Domains.
[arXiv]
[BibTeX]
- Stengl, S.-M. (2023). An Alternative Formulation of the Quantum Phase Estimation Using Projection-based Tensor Decompositions.
[arXiv]
[BibTeX]
- Hintermüller, M., and Stengl, S.-M. A Generalized 𝛤-convergence Concept for a Type of Equilibrium Problems.
[URL]
[BibTeX]
- HintermĂĽller, M., and Stengl, S.-M. On the Convexity of Optimal Control Problems Involving Non-linear PDEs or VIs and Applications to Nash Games.
[URL]
[BibTeX]
- Stengl, S.-M. Combined Regularization and Discretization of Equilibrium Problems and Primal-dual Gap Estimators.
[arXiv]
[BibTeX]
- Stengl, S.-M. Path-following Methods for Generalized Nash Equilibrium Problems.
[arXiv]
[BibTeX]
Full articles
- Gahururu, D., Hintermüller, M., Stengl, S.-M., and Surowiec, T. M. (2022). Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion. In Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization (Vol. 172, pp. 145–181).
DOI: 10.1007/978-3-030-79393-7_7
[BibTeX]
- Hintermüller, M., Stengl, S.-M., and Surowiec, T. (2021). Uncertainty Quantification in Image Segmentation Using the Ambrosio–Tortorelli Approximation of the Mumford–Shah Energy. Journal of Mathematical Imaging and Vision, 63(9), 1095–1117.
DOI: 10.1007/s10851-021-01034-2
[URL]
[BibTeX]