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Department of Data Science

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    • Bachelor Data Science (German)
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      • Analytics & Mixed-Integer Optimization
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      • DynDat – Dynamic data inversion, learning and control
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Department of Data Science

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
    • DynDat – Dynamic data inversion, learning and control
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
          • Projects
          • Publications
          • Teaching
        • M.Sc. Kristin Braun
          • Publications
        • Prof. Dr. Yiannis Giannakopoulos
        • M.Sc. Adrian Göß
        • M.Sc. Lukas Hager
        • M.Sc. Johannes Hahn
        • M.Sc. Katrin Halbig
        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
          • Projects
        • M.Sc. Alexander Müller
          • Projects
        • Dipl.-Math. Galina Orlinskaya
          • Projects
          • Publications
        • Dr. Jan Rolfes, Akad. Rat
          • Publications
          • Teaching
        • Hanno Schülldorf
        • M.Sc. Sonja Weiland
        • Dr. Dieter Weninger, Akad. Rat
          • Projects
          • Publications
          • Teaching
      • Projects
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          • Ada-Lovelace Center
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        • Logistics and Production
        • Mixed Integer Programming
        • TRR 154 (Transregio)
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      • How to find us
    • Data Analytics
      • Prof. Dr. Timm Oertel
    • Digital Sovereignty
    • Dynamics, Control, Machine Learning and Numerics (Alexander von Humboldt-Professur)
      • Events
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      • Humboldt-Professorship
    • Mathematical Statistics
    • Optimization under Uncertainty & Data Analysis
      • Group members
        • M.Sc. Kevin-Martin Aigner
          • Projects
          • Publications
          • Research Activities
        • M.Sc. Daniela Bernhard
        • M.Sc. Jana Dienstbier
          • Publications
        • M.Sc. Benno Hoch
          • Projects
        • M.Sc. Martina Kuchlbauer
          • Projects
          • Publications
        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
          • Projects
          • Publications
        • Sebastian Tschuppik
          • Projects
        • Friedrich Wagner
        • M.Sc. Jorge Weston
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      • How to find us
  • Professors, Lecturers and Researchers
    • Marie-Christine Düker
    • Yiannis Giannakopoulos
    • Jens Habermann
    • Johannes Helbig
    • Manfred Kronz
    • Frauke Liers
    • Timm Oertel
    • Dieter Weninger
    • Marius Yamakou
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
  • Former Members

Prof. Dr. Timm Oertel

Prof. Dr. Timm Oertel

Timm Oertel

Department of Data Science (DDS)
Chair of Analytics & Mixed-Integer Optimization

Room: Room 03.344
Cauerstraße 11
91058 Erlangen
  • Phone number: +49 9131 85-67313
  • Email: timm.oertel@fau.de
  • Website: https://www.datascience.nat.fau.eu/research/groups/da/members/timm-oertel/

Publications

2021

  • Aliev I., Averkov G., De Loera JA., Oertel T.:
    Sparse representation of vectors in lattices and semigroups
    In: Mathematical Programming (2021)
    ISSN: 0025-5610
    DOI: 10.1007/s10107-021-01657-8

2020

  • Aliev I., Averkov G., De Loera JA., Oertel T.:
    Optimizing Sparsity over Lattices and Semigroups
    21st International Conference on Integer Programming and Combinatorial Optimization, IPCO 2020 (London, 8. June 2020 - 10. June 2020)
    In: Daniel Bienstock, Giacomo Zambelli (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
    DOI: 10.1007/978-3-030-45771-6_4
  • Aliev I., Henk M., Oertel T.:
    Distances to lattice points in knapsack polyhedra
    In: Mathematical Programming 182 (2020), p. 175-198
    ISSN: 0025-5610
    DOI: 10.1007/s10107-019-01392-1
  • Oertel T., Paat J., Weismantel R.:
    The distributions of functions related to parametric integer optimization
    In: SIAM Journal on Applied Algebra and Geometry 4 (2020), p. 422-440
    ISSN: 2470-6566
    DOI: 10.1137/19M1275954

2019

  • Oertel T., Paat J., Weismantel R.:
    Sparsity of Integer Solutions in the Average Case
    20th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2019 (Ann Arbor, MI, 22. May 2019 - 24. May 2019)
    In: Andrea Lodi, Viswanath Nagarajan (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
    DOI: 10.1007/978-3-030-17953-3_26

2018

  • Aliev I., De Loera JA., Eisenbrand F., Oertel T., Weismantel R.:
    The support of integer optimal solutions
    In: SIAM Journal on Optimization 28 (2018), p. 2152-2157
    ISSN: 1052-6234
    DOI: 10.1137/17M1162792

2017

  • Aliev I., De Loera JA., Oertel T., O'Neill C.:
    Sparse solutions of linear diophantine equations
    In: SIAM Journal on Applied Algebra and Geometry 1 (2017), p. 239-253
    ISSN: 2470-6566
    DOI: 10.1137/16M1083876
  • Aliev I., Henk M., Oertel T.:
    Integrality gaps of integer knapsack problems
    19th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2017 (Waterloo, ON, CAN, 26. June 2017 - 28. June 2017)
    In: Friedrich Eisenbrand, Jochen Koenemann (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017
    DOI: 10.1007/978-3-319-59250-3_3
  • Basu A., Oertel T.:
    Centerpoints: A link between optimization and convex geometry
    In: SIAM Journal on Optimization 27 (2017), p. 866-889
    ISSN: 1052-6234
    DOI: 10.1137/16M1092908

2016

  • Artmann S., Eisenbrand F., Glanzer C., Oertel T., Vempala S., Weismantel R.:
    A note on non-degenerate integer programs with small sub-determinants
    In: Operations Research Letters 44 (2016), p. 635-639
    ISSN: 0167-6377
    DOI: 10.1016/j.orl.2016.07.004
  • Baes M., Oertel T., Weismantel R.:
    Duality for mixed-integer convex minimization
    In: Mathematical Programming 158 (2016), p. 547-564
    ISSN: 0025-5610
    DOI: 10.1007/s10107-015-0917-y
  • Basu A., Oertel T.:
    Centerpoints: A link between optimization and convex geometry
    18th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2016 (Liege, BEL, 1. June 2016 - 3. June 2016)
    In: Martin Skutella, Quentin Louveaux (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016
    DOI: 10.1007/978-3-319-33461-5_2

2015

  • Adjiashvili D., Oertel T., Weismantel R.:
    A polyhedral frobenius theorem with applications to integer optimization
    In: SIAM Journal on Discrete Mathematics 29 (2015), p. 1287-1302
    ISSN: 0895-4801
    DOI: 10.1137/14M0973694
  • Hildebrand R., Oertel T., Weismantel R.:
    Note on the complexity of the mixed-integer hull of a polyhedron
    In: Operations Research Letters 43 (2015), p. 279-282
    ISSN: 0167-6377
    DOI: 10.1016/j.orl.2015.03.002

2014

  • Oertel T., Wagner C., Weismantel R.:
    Integer convex minimization by mixed integer linear optimization
    In: Operations Research Letters 42 (2014), p. 424-428
    ISSN: 0167-6377
    DOI: 10.1016/j.orl.2014.07.005

2013

  • Baes M., Oertel T., Wagner C., Weismantel R.:
    Mirror-descent methods in mixed-integer convex optimization
    In: Michael Jünger, Gerhard Reinelt (ed.): Facets of Combinatorial Optimization, Berlin, Heidelberg: Springer-Verlag, 2013, p. 101-131
    ISBN: 9783642381898

    DOI: 10.1007/978-3-642-38189-8_5

Teaching

Exercise (UE)

  • Übungen zu Mathematik für Data Science 2

    • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 2)
    • Date:
      • Thu 12:00-14:00, Room Übung 5 / 01.254-128 (exclude vac) ICS
      • Thu 14:00-16:00, Room Übung 1 / 01.250-128 (exclude vac) ICS
  • Übung zu Einführung in die mathematische Datenanalyse

    • 1 SWS
    • Date:
      • Time and place on appointment
  • Übung zu Robuste Optimierung 1

    • 2 SWS
    • Date:
      • Thu 8:30-10:00, Room Übung 1 / 01.250-128 (exclude vac) ICS
      • 10:00-12:00, Room Übung 2 / 01.251-128 (exclude vac) ICS
  • Übung zu Robuste Optimierung 2

    Zweite Semesterhälfte

    • 2 SWS, Lecture's language English
    • Date:
      • Thu 8:30-10:00, Room Übung 1 / 01.250-128 (exclude vac) ICS
      • Thu 10:00-12:00, Room Übung 2 / 01.251-128 (exclude vac) ICS
  • Tafelübung zu Mathematik für Data Science 2

    • 2 SWS; Allowed for guest students
    • Date:
      • Fry 12:00-14:00, Room H13 (exclude vac) ICS
  • Tafelübung zu Mathematik für Physikstudierende B

    • 2 SWS; Allowed for guest students
    • Date:
      • Fry 12:00-14:00, Room H13 (exclude vac) ICS

Lecture (VORL)

  • Einführung in die mathematische Datenanalyse

    • ECTS studies (ECTS credits: 5)
    • Date:
      • Wed 14:00-16:00, Room H12 (exclude vac) ICS
  • Mathematik für Physikstudierende B

    • 4 SWS; ECTS studies (ECTS credits: 8)
    • Date:
      • Mon 12:15-14:00, Room H12 (exclude vac) ICS
      • Wed 12:15-14:00, Room HB (exclude vac) ICS
  • Mathematik für Data Science 2

    • 4 SWS; ECTS studies (ECTS credits: 8)
    • Date:
      • Mon 12:15-14:00, Room H12 (exclude vac) ICS
      • Wed 12:15-14:00, Room HB (exclude vac) ICS
  • Robuste Optimierung 2

    Diese Masterveranstaltung ist der zweite Teil einer Vorlesung und behandelt fortgeschrittene Kapitel der robusten Optimierung, sie findet in der zweiten Semesterhälfte statt.

    Der erste Teil "Einführung in die robuste Optimierung" (siehe Bachelorvorlesungen) findet zur selben Zeit/Ort in der ersten Hälfte des Semesters statt und wird vorausgesetzt. Der Masterteil beginnt mit der VL am 13. Juni.

    Im Master können bis zu 10% der ECTS-Punkte aus dem Bachelorbereich eingebracht werden. Daher kann die volle VL als 4h-Veranstaltung gehört werden und 10 ECTS in das Masterstudium eingebracht werden, falls nicht schon anderweitig Bachelor-ECTS Punkte eingebracht wurden.

    StudOn-Link: https://www.studon.fau.de/crs4412993.html bzw. 4412993

    • 2 SWS; ECTS studies (ECTS credits: 5), Lecture's language English
    • Date:
      • Mon 10:00-12:00, Room H12 (exclude vac) ICS
      • Tue 14:00-16:00, Room H13 (exclude vac) ICS

Lecture with exercise (V/UE)

  • Robuste Optimierung 1

    Diese Bachelorveranstaltung ist der erste Teil einer Vorlesung, die durch die Masterveranstaltung "Robuste Optimierung" (mehr Informationen unter Mastervorlesungen) fortgesetzt wird. Sie findet in der ersten Hälfte des Semesters statt (bis 7. Juni).

    Es können auch beide Teile der Vorlesung besucht werden und für das Bachelorstudium (insgesamt 10 ECTS) angerechnet werden.

    StudOn-Link: https://www.studon.fau.de/crs4412993.html bzw. 4412993

    • 2 SWS; ECTS studies (ECTS credits: 5)
    • Date:
      • Mon 10:00-12:00, Room H12 (exclude vac) ICS
      • Tue 14:00-16:00, Room H13 (exclude vac) ICS

Master seminar (MAS)

  • Projektseminar Optimierung (Master)

    Um Anmeldung im zugehörigen StudOn-Kurs wird gebeten: https://www.studon.fau.de/crs3625616.html

    • 2 SWS; ECTS studies (ECTS credits: 5)
    • Date:
      • Time and place on appointment
Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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