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Tobias Seidel
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2020 – today
- 2024
- [j6]Holger Berthold, Till Heller, Tobias Seidel
:
A unified approach to inverse robust optimization problems. Math. Methods Oper. Res. 99(1): 115-139 (2024) - [j5]Katrin Teichert, Tobias Seidel, Philipp Süss:
Combining discrete and continuous information for multi-criteria optimization problems. Math. Methods Oper. Res. 100(1): 153-173 (2024) - 2023
- [i3]Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Isobel Jones, Abhishek Awasthi, Astrid Elisa Niederle, Michael Bortz:
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem. CoRR abs/2309.09736 (2023) - [i2]Zongji Li, Tobias Seidel, Michael Bortz, Raoul Heese:
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem. CoRR abs/2312.08940 (2023) - 2022
- [j4]Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz:
Simultaneous simulation and optimization of multiple dividing wall columns. Comput. Chem. Eng. 157: 107607 (2022) - [j3]Helene Krieg
Solving continuous set covering problems by means of semi-infinite optimization. Math. Methods Oper. Res. 96(1): 39-82 (2022) - 2021
- [j2]Jan Schwientek
A transformation-based discretization method for solving general semi-infinite optimization problems. Math. Methods Oper. Res. 93(1): 83-114 (2021) - 2020
- [b1]Tobias Seidel:
Solving Semi-infinite Optimization Problems with Quadratic Rate of Convergence. Kaiserslautern University of Technology, Germany, Fraunhofer Verlag 2020, ISBN 978-3-8396-1591-1, pp. 1-143
2010 – 2019
- 2019
- [j1]Raoul Heese
Optimized data exploration applied to the simulation of a chemical process. Comput. Chem. Eng. 124: 326-342 (2019) - [i1]Raoul Heese, Michal Walczak, Tobias Seidel, Norbert Asprion, Michael Bortz:
Optimized data exploration applied to the simulation of a chemical process. CoRR abs/1902.06453 (2019)
Coauthor Index
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