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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
Consultation hours: Tuesday 5:00 pm. Please send me an email before Tuesday noon in order to get the zoom link.

Research interests

  • Apprroximation algorithms
  • Scheduling
  • Symmetric Chain Decompositions

Teaching

Assistances
Summer 2021
Computerorientierte Mathematik II (theoretical exercises)
Winter 2020/21
Introduction to Linear and Combinatorial Optimization (ADM I)
Summer 2020
Discrete Optimization (ADM II)
Winter 2019/20
Introduction to Linear and Combinatorial Optimization (ADM I)
Summer 2019
Discrete Optimization (ADM II)
Winter 2018/19
Introduction to Linear and Combinatorial Optimization (ADM I)
Summer 2018
Computerorientierte Mathematik II (programming exercises)
Winter 2017/18
Computerorientierte Mathematik I (programming exercises)
Summer 2017
Computerorientierte Mathematik II (theoretical exercises)
Winter 2016/17
Computerorientierte Mathematik I (theoretical exercises)

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

Approximating Total Weighted Completion Time on Identical Parallel Machines with Precedence Constraints and Release Dates
Citation key Jaeger2018
Author Jäger, Sven
Pages 505–509
Year 2018
ISSN 0167-6377
DOI 10.1016/j.orl.2018.07.006
Journal Operations Research Letters
Volume 46
Number 5
Month September
Abstract We present a (2+2 ln 2 + ε)-approximation algorithm for the classical nonpreemptive scheduling problem to minimize the total weighted completion time of jobs on identical parallel machines subject to release dates and precedence constraints, improving upon the previously best known 4-approximation algorithm from 1998. The result carries over to the more general problem with precedence delays and generalizes a recent result by Li (2017) for the problem without release dates or delays.
Link to original publication Download Bibtex entry
Approximating Total Weighted Completion Time on Identical Parallel Machines with Precedence Constraints and Release Dates
Citation key Jaeger2018
Author Jäger, Sven
Pages 505–509
Year 2018
ISSN 0167-6377
DOI 10.1016/j.orl.2018.07.006
Journal Operations Research Letters
Volume 46
Number 5
Month September
Abstract We present a (2+2 ln 2 + ε)-approximation algorithm for the classical nonpreemptive scheduling problem to minimize the total weighted completion time of jobs on identical parallel machines subject to release dates and precedence constraints, improving upon the previously best known 4-approximation algorithm from 1998. The result carries over to the more general problem with precedence delays and generalizes a recent result by Li (2017) for the problem without release dates or delays.
Link to original publication Download Bibtex entry

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