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TU Berlin

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Sven Jäger

Lupe

Research assistant

Fakultät II - Mathematik und Naturwissenschaften
Institut für Mathematik, Sekr. MA 5-2

Technische Universität Berlin
Straße des 17. Juni 136
10623 Berlin
Germany

E-Mail:
Tel.: +49 (0)30 314-21095
Fax: +49 (0)30 314-25191
Room: MA 511
Office hour: by appointment

Research interests

  • Apprroximation algorithms
  • Scheduling
  • Symmetric Chain Decompositions

Teaching

Curriculum Vitae

Since July 2016
Doctoral student with Martin Skutella, Technische Universität Berlin
2013 - 2016:
Master studies in Mathematics and in Applied Computer Science at Georg-August-Universität Göttingen, Germany.
2010 - 2013:
Bachelor studies in Mathematics and in Applied Computer Science at Georg-August-Universität Göttingen, Germany.
2010:
Abitur at Hainberg-Gymnasium Göttingen

Publications

Däubel, K., Jäger, S., Mütze, T. and Scheucher, M.
On orthogonal symmetric chain decompositions.
Electronic Journal of Combinatorics, Vol. 26, pp. P3.64, 2019. Full version.

Link to original publication


Däubel, K., Jäger, S., Mütze, T. and Scheucher, M.
On orthogonal symmetric chain decompositions.
In Proceedings of the European Conference on Combinatorics, Graph Theory and Applications (EUROCOMB), pp. 611–618, 2019. extended abstract.

Link to original publication


Jäger, S. and Schöbel, A.
The blockwise coordinate descent method for integer programs.
Mathematical Methods of Operations Research, 2019.

Link to publication Link to original publication



Gregor, P., Jäger, S., Mütze, T., Sawada, J. and Wille, K.
Gray codes and symmetric chains.
In 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018), pp. 66:1–66:14, 2018.

Link to original publication


Jäger, S. and Skutella, M.
Generalizing the Kawaguchi-Kyan Bound to Stochastic Parallel Machine Scheduling.
In 35th Symposium on Theoretical Aspects of Computer Science (STACS 2018), pp. 43:1–43:14, 2018.

Link to original publication


Gültas, M., Düzgün, G., Herzog, S., Jäger, S., Meckbach, C., Wingender, E. and Waack, S..
Quantum coupled mutation finder: Predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming.
BMC Bioinformatics, Vol. 15, pp. 1-17, 2014.

Link to publication Link to original publication


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