Shown are all currently funded projects. A list of completed projects (since 2008) can be found here
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| | Machine Learning for Simulation Intelligence in Composite Process Design (Mathematical Architecture)
Project Head: M. Hintermüller
January 1, 2022 - December 31, 2024 |
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| | Decision-making for energy network dynamics (>> more)
Project Head: M. Hintermüller, F. Hante (HU Berlin), S. Pokutta (ZIB / TU Berlin)
June 1, 2021 - May 31, 2024 |
| | Robust multilevel training for artificial neural networks (>> more)
Project Head: M. Hintermüller, K. Papafitsoros, Carsten Graeser (FU)
April 1, 2022 - March 31, 2025 |
| | Data-driven robust model predictive control under distribution shift (>> more)
Project Head: M. Hintermüller, J. Zhu
January 1, 2022 - December 31, 2023 |
| | Integrated learning and variational methods for quantitative dynamic imaging (>> more)
Project Head: M. Hintermüller, C. Kolbitsch (PTB), T. Schäffter (PTB / TU Berlin)
January 1, 2022 - December 31, 2023 |
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| | Multicriteria optimization subject to equilibrium constraints using the example of gas markets (>> more)
Project Head: M. Hintermüller
July 1, 2022 - June 30, 2026 |
| | Stochastic gradient methods for almost sure state constraints for optimal control of gas flow under uncertainty (>> more)
Project Head: M. Hintermüller
July 1, 2022 - June 30, 2026 |
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| | Coordination Funds (>> more)
Project Head: M. Hintermüller
April 1, 2020 - March 31, 2023 |
| | A non-smooth phase-field approach to shape optimization with instationary fluid flow (>> more)
Project Head: M. Hintermüller, M. Hinze (Uni Hamburg)
January 1, 2022 - December 31, 2024 |
| | Constrained mean field games: Analysis and algorithms (>> more)
Project Head: M. Hintermüller, T. Surowiec (U Marburg)
October 26, 2020 - October 25, 2023 |
| | A unified approach to optimal uncertainty quantification and risk-averse optimization with quasi-variational inequality constraints (>> more)
Project Head: M. Hintermüller
April 1, 2020 - March 31, 2023 |
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