• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Department of Mathematics
  • FAUTo the central FAU website
  • de
  • UnivIS
  • StudOn
  • meincampus
  • CRIS
  • emergency help

Department of Mathematics

Navigation Navigation close
  • Department
    • Chairs and Professorships
    • Organisation
    • Development Association
    • System Administration
    • Contact and Directions
    • Actual
    Portal Department of Mathematics
  • Research
    • Research Projects
    • Publications
    • Preprint Series Applied Mathematics
    Portal Research
  • Study
    • Advice and Services
    • Prospective students
    • Current students
    • International
    Portal Study
  • Events
  1. Home
  2. EDOM
  3. Team
  4. Dieter Weninger

Dieter Weninger

In page navigation: EDOM
  • Overview
  • Team
    • Kevin-Martin Aigner
    • Edeltraud Balser
    • Andreas Bärmann
    • Kristin Braun
    • Jana Dienstbier
    • Patrick Gemander
    • Yiannis Giannakopoulos
    • Lukas Hager
    • Katrin Halbig
    • Beate Kirchner
    • Martina Kuchlbauer
    • Frauke Liers
    • Alexander Martin
    • Alexander Müller
    • Timm Oertel
    • Galina Orlinskaya
    • Florian Rösel
    • Hanno Schülldorf
    • Jonasz Staszek
    • Regine Stirnweiß
    • Sebastian Tschuppik
    • Friedrich Wagner
    • Dieter Weninger
    • Jorge Weston
  • Projects
    • Analytics
      • ADA Lovelace Center
      • Optimal Control of Electrical Distribution Networks with Uncertain Solar Feed-In
      • Optimization of medical care in rural environments
        • HealthFaCT Contents
      • EWave – Water Supply Energy Management System
      • LeOpIn
      • Robust Schedules for Air Traffic Management
      • RobustATM: Robust Optimization of ATM Planning Processes by Modelling of Uncertainty Impact
    • Energy
      • Robustification of Physical Parameters in Gas Networks
      • Adaptive MIP-Relaxations for MINLPs
      • Analysis of the German Electricity Market
      • MIP-based Alternating Direction Methods for High-Detail Stationary Gas Transport MINLPs
      • Decomposition methods for mixed-integer optimal control
      • Optimal allocation of gas network capacities
      • Energy System Analysis
      • Robust Power Load Balancing in Railway Networks
      • Smart Grid Optimization
    • Engineering and Physics
    • Logistics and Production
      • Driver Assistance Systems in Railway Traffic
      • Energy-Efficient Timetable Optimization
      • Joint Locomotive Scheduling and Driver Rostering in Rail Freight Traffic
      • Holistic optimization of trajectrories and runway scheduling
      • Optimized Production in the Tea Industry
      • OPs-TIMAL – Optimized processes for trajectory, maintenance and management of ressources and operations in aviation
      • Process optimization for hospital logistics
      • Expansion of the German Rail Freight Network
    • Mixed Integer Programming
      • Solver for Relaxations in General Mixed Integer Nonlinear Programming (SCIP/NL)
      • Development of new Linear and MIP Techniques for Supply Chain Management
      • Lamatto++
    • TRR 154 (Transregio)
  • Publications
  • PhD Theses
  • Teaching
  • Bachelor and Master Theses
  • Public Relations
  • News and Events
    • G’scheid schlau!
    • Friday@Noon
  • How to find us

Dieter Weninger

Dr. Dieter Weninger, Akad. Rat

Dieter Weninger
Dieter Weninger

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

Room: Raum 03.386
Cauerstraße 11
91058 Erlangen
  • Phone number: +49 9131 85-67188
  • Fax number: +49 9131 85-67162
  • Email: dieter.weninger@math.uni-erlangen.de
  • Website: https://www.datascience.nat.fau.eu/research/groups/amio/members/dieter-weninger/

Projects

  • Process optimization for hospital logistics

    (Third Party Funds Single)

    Term: since 01-01-2020
    Funding source: Industrie
    URL: https://en.www.math.fau.de/edom/projects-edom/logistics-and-production/process-optimization-for-hospital-logistics/
    →More information
  • Decomposition methods for mixed-integer optimal control (A05) (2018 - 2022)

    (Third Party Funds Group – Sub project)

    Overall project: TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken
    Term: 01-07-2018 - 30-06-2022
    Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)
    Abstract

    The focus lies on the development of mathematical decomposition methods for mixed-integer nonlinear optimal control problems on networks. On the top level (master) mixed-integer linear problems are in place, whereas in the sub-problem only continuous variables are considered. The exchange between the levels is performed not only via cutting planes, but also via the modelling of disjunctions to deal with non-convex optimal control problems as well. The overall emphasis is the mathematical analysis of structured mixed nonlinear optimization problems based on hierarchical models.

    →More information
  • Development of new Linear and Integer Programming Techniques to solve Supply Chain Management Problems

    (Third Party Funds Single)

    Term: since 01-03-2010
    Funding source: Industrie
    Abstract

    Supply Chain Management (SCM) deals with the combination of procurement, production, storage, transport and delivery of commodities. Problems of this kind occur in all kinds of industry branches. Since the integrated planning of these processes contains a high potential for optimization it is of great importance for the companies’ efficiency.

    The method of choice to find optimal solutions in SCM is linear and integer programming. Nevertheless, there are big challenges to overcome – concerning both hardware and algorithms – due to very detailed and therefore large models. Additionally there may occur numerical difficulties that standard techniques cannot deal with.

    As a consequence, the problem’s mathematical formulation has to be done carefully and new methods need to be implemented to improve the performance of MIP algorithms.

    →More information

Publications

2022

  • Weninger D., Orlinskaya G., Merkert M.:
    An Exact Projection-Based Algorithm for Bilevel Mixed-Integer Problems with Nonlinearities
    In: Journal of Global Optimization (2022)
    ISSN: 0925-5001
    DOI: 10.1007/s10898-022-01172-w
    URL: http://www.optimization-online.org/DB_FILE/2020/12/8153.pdf
    BibTeX: Download
    (anderer)

2021

  • Bestuzheva K., Besançon M., Chen WK., Chmiela A., Donkiewicz T., van Doornmalen J., Eifler L., Gaul O., Gamrath G., Gleixner A., Gottwald L., Graczyk C., Halbig K., Hoen A., Hojny C., van der Hulst R., Koch T., Lübbecke M., Maher SJ., Matter F., Mühmer E., Müller B., Pfetsch ME., Rehfeldt D., Schlein S., Schlösser F., Serrano F., Shinano Y., Sofranac B., Turner M., Vigerske S., Wegscheider F., Wellner P., Weninger D., Witzig J.:
    The SCIP Optimization Suite 8.0
    (2021)
    BibTeX: Download
    (Techreport)
  • Halbig K., Hümbs L., Rösel F., Schewe L., Weninger D.:
    Computing optimality certificates for convex mixed-integer nonlinear problems
    (2021)
    URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/docId/476/
    BibTeX: Download
    (Techreport)
  • Kleinert T., Manns J., Schmidt M., Weninger D.:
    Presolving Linear Bilevel Optimization Problems
    In: EURO Journal on Computational Optimization (2021)
    ISSN: 2192-4406
    DOI: 10.1016/j.ejco.2021.100020
    URL: http://www.optimization-online.org/DB_HTML/2021/03/8286.html
    BibTeX: Download
    (Techreport)
  • Krug R., Leugering G., Martin A., Schmidt M., Weninger D.:
    TIME-DOMAIN DECOMPOSITION FOR OPTIMAL CONTROL PROBLEMS GOVERNED BY SEMILINEAR HYPERBOLIC SYSTEMS
    In: SIAM Journal on Control and Optimization 59 (2021), p. 4339-4372
    ISSN: 0363-0129
    DOI: 10.1137/20M138329X
    BibTeX: Download

2020

  • Gamrath G., Anderson D., Bestuzheva K., Chen WK., Eifler L., Gasse M., Gemander P., Gleixner A., Gottwald L., Halbig K., Hendel G., Hojny C., Koch T., Le Bodic P., Maher SJ., Matter F., Miltenberger M., Mühmer E., Müller B., Pfetsch ME., Schlösser F., Serrano F., Shinano Y., Tawfik C., Vigerske S., Wegscheider F., Weninger D., Witzig J.:
    The SCIP Optimization Suite 7.0
    In: Konrad-Zuse-Zentrum für Informationstechnik Berlin : ZIB-Report (2020)
    BibTeX: Download
    (Techreport)
  • Gemander P., Chen WK., Weninger D., Gottwald L., Gleixner A., Martin A.:
    Two-row and two-column mixed-integer presolve using hashing-based pairing methods
    In: EURO Journal on Computational Optimization (2020)
    ISSN: 2192-4406
    DOI: 10.1007/s13675-020-00129-6
    BibTeX: Download
  • Schewe L., Schmidt M., Weninger D.:
    A Decomposition Heuristic for Mixed-Integer Supply Chain Problems
    In: Operations Research Letters (2020), Article No.: 0167-6377
    ISSN: 0167-6377
    DOI: 10.1016/j.orl.2020.02.006
    URL: http://www.sciencedirect.com/science/article/pii/S0167637720300249
    BibTeX: Download

2019

  • Achterberg T., Bixby RE., Gu Z., Rothberg E., Weninger D.:
    Presolve Reductions in Mixed Integer Programming
    In: Informs Journal on Computing (2019)
    ISSN: 1091-9856
    URL: https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6037
    BibTeX: Download
  • Chen W., Gemander P., Gleixner A., Gottwald L., Martin A., Weninger D.:
    Two-row and two-column mixed-integer presolve using hash-based pairing methods
    (2019)
    URL: http://www.optimization-online.org/DB_HTML/2019/09/7357.html
    BibTeX: Download
    (Techreport)
  • Gamrath G., Gleixner A., Koch T., Miltenberger M., Kniasew D., Schlögel D., Martin A., Weninger D.:
    Tackling Industrial-Scale Supply Chain Problems by Mixed-Integer Programming
    In: Journal of Computational Mathematics (2019)
    ISSN: 0254-9409
    URL: https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6110
    BibTeX: Download
  • Weninger D., Wolsey L.:
    Benders' algorithm with (mixed)-integer subproblems
    (2019)
    URL: https://alfresco.uclouvain.be/alfresco/service/guest/streamDownload/workspace/SpacesStore/0f8e2eec-b77e-40a4-af87-b1a5a738e696/coredp2019_20web.pdf?guest=true
    BibTeX: Download
    (Techreport)

2017

  • Gleixner A., Eifler L., Gally T., Gamrath G., Gemander P., Gottwald RL., Hendel G., Hojny C., Koch T., Miltenberger M., Müller B., Pfetsch ME., Puchert C., Rehfeldt D., Schlösser F., Serrano F., Shinano Y., Viernickel JM., Vigerske S., Weninger D., Witt J., Witzig J.:
    The SCIP Optimization Suite 5.0
    (2017)
    BibTeX: Download
    (Techreport)
  • Maher SJ., Fischer T., Gally T., Gamrath G., Gleixner A., Gottwald RL., Hendel G., Koch T., Lübbecke M., Miltenberger M., Müller B., Pfetsch ME., Puchert C., Rehfeldt D., Schenker S., Schwarz R., Serrano F., Shinano Y., Weninger D., Witt J., Witzig J.:
    The SCIP Optimization Suite 4.0
    (2017)
    BibTeX: Download
    (Techreport)

2016

  • Gamrath G., Fischer T., Gally T., Gleixner A., Hendel G., Koch T., Maher SJ., Miltenberger M., Müller B., Pfetsch ME., Puchert C., Rehfeldt D., Schenker S., Schwarz R., Serrano F., Shinano Y., Vigerske S., Weninger D., Winkler M., Witt J., Witzig J.:
    The SCIP Optimization Suite 3.2
    (2016)
    BibTeX: Download
    (Techreport)
  • Weninger D.:
    Solving mixed-integer programs arising in production planning (Dissertation, 2016)
    URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/8226
    BibTeX: Download

2015

  • Bärmann A., Liers F., Martin A., Merkert M., Thurner C., Weninger D.:
    Solving Network Design Problems via Iterative Aggregation
    In: Mathematical Programming Computation 7 (2015), p. 189-217
    ISSN: 1867-2957
    DOI: 10.1007/s12532-015-0079-1
    BibTeX: Download
  • Gamrath G., Koch T., Martin A., Miltenberger M., Weninger D.:
    Progress in presolving for mixed integer programming
    In: Mathematical Programming Computation 7 (2015), p. 367-398
    ISSN: 1867-2949
    DOI: 10.1007/s12532-015-0083-5
    BibTeX: Download

2014

  • Achterberg T., Bixby RE., Gu Z., Rothberg E., Weninger D.:
    Multi-Row Presolve Reductions in Mixed Integer Programming
    Twenty-Sixth RAMP Symposium (Tokyo, 16-10-2014 - 17-10-2014)
    In: Hosei University, Tokyo (ed.): Proceedings of the Twenty-Sixth RAMP Symposium 2014
    URL: http://www.orsj.or.jp/ramp/2014/paper/4-4.pdf
    BibTeX: Download

2009

  • Weninger D., Silzle A., Geyersberger S., Brohasga G., Weninger D., Leistner M.:
    Vision and Technique Behind the New Studios and Listening Rooms of the Fraunhofer IIS Audio Laboratory
    In: Proc. Audio Eng. Soc. Conv., Munich, Germany: 2009
    BibTeX: Download

Teaching

Exercise (UE)

  • Übungen zu Lineare und nichtlineare Systeme (Querschnittmodul)

    • 2 SWS; Allowed for guest students
    • Date:
      • Wed 14:00-16:00, Room 04.363 (exclude vac) ICS
      • Thu 12:00-14:00, Room Übung 1 / 01.250-128 (exclude vac) ICS
  • Tafelübung zu Lineare und nichtlineare Systeme

    Beginn am 4.5.2017

    • 1 SWS; Allowed for guest students
    • Date:
      • Thu 9:15-10:00, Room Übung 5 / 01.254-128 (exclude vac) ICS

Lecture (VORL)

  • Lineare und nichtlineare Systeme (Querschnittmodul)

    • 4 SWS; Allowed for guest students
    • Date:
      • Tue 8:00-10:00, Room Übung 5 / 01.254-128 (exclude vac) ICS
      • Thu 10:00-12:00, Room Übung 5 / 01.254-128 (exclude vac) ICS
Friedrich-Alexander-Universität
Department of Mathematics

Cauerstraße 11
91058 Erlangen
  • Contact and Directions
  • Internal Pages
  • Staff Members A-Z
  • Imprint
  • Privacy
  • EN/DE
Up