Lehrstuhl für Wirtschaftsmathematik

Address:
Cauerstraße 11
91058 Erlangen



Subordinate Organisational Units

Juniorprofessur für Algorithmische Diskrete Mathematik
Juniorprofessur für Optimierung von Energiesystemen


Research Fields

Analytics
Energy
Engineering and Physics
Logistics and Production
Mixed Integer Programming


Related Project(s)


(Energie Campus Nürnberg (EnCN2)):
EMD: Energiemarktdesign
Prof. Dr. Veronika Grimm; Prof. Dr. Roland Ismer; Prof. Dr. Frauke Liers; Prof. Dr. Alexander Martin; Prof. Dr. Lars Schewe; Prof. Dr. Martin Schmidt; Prof. Dr. Gregor Zöttl
(01/01/2017 - 31/12/2021)


(SFB TRR 154 “Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzen”):
Welfare optimal nominations in gas networks and associated equilibria
Prof. Dr. Veronika Grimm; Prof. Dr. Lars Schewe; Prof. Dr. Martin Schmidt; Prof. Dr. Gregor Zöttl
(01/10/2016 - 30/06/2018)


(TRR 154: Mathematical Modelling, Simulation and Optimisation Using the Example of Gas Networks):
Adaptive MIP-Relaxations for MINLPs (B07)
Prof. Dr. Alexander Martin; Prof. Dr. Lars Schewe
(01/10/2014)


(TRR 154: Mathematical Modelling, Simulation and Optimisation Using the Example of Gas Networks):
Decomposition methods for mixed-integer optimal control (A05)
Prof. Dr. Günter Leugering; Prof. Dr. Alexander Martin
(01/07/2014)



Publications (Download BibTeX)

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Geißler, B., Morsi, A., Schewe, L., & Schmidt, M. (2018). Solving Highly Detailed Gas Transport MINLPs: Block Separability and Penalty Alternating Direction Methods. Informs Journal on Computing, 20(2). https://dx.doi.org/10.1287/ijoc.2017.0780
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems. Computational Optimization and Applications, 70(1), 267-294. https://dx.doi.org/10.1007/s10589-017-9970-1
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). Towards Simulation Based Mixed-Integer Optimization with Differential Equations. Networks. https://dx.doi.org/10.1002/net.21812
Krebs, V., Schewe, L., & Schmidt, M. (2018). Uniqueness and Multiplicity of Market Equilibria on DC Power Flow Networks. European Journal of Operational Research. https://dx.doi.org/10.1016/j.ejor.2018.05.016
Robinius, M., Schewe, L., Schmidt, M., Stolten, D., Thürauf, J., & Welder, L. (2018). Robust Optimal Discrete Arc Sizing for Tree-Shaped Potential Networks.
Schmidt, M., Sirvent, M., & Wollner, W. (2018). The Cost of Not Knowing Enough: Mixed-Integer Optimization with Implicit Lipschitz Nonlinearities.
Bärmann, A., Martin, A., & Schneider, O. (2017). A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation. Public Transport, 9(1), 95-113. https://dx.doi.org/10.1007/s12469-017-0160-4
Bärmann, A., Martin, A., & Schuelldorf, H. (2017). A Decomposition Method for Multiperiod Railway Network Expansion - With a Case Study for Germany. Transportation Science. https://dx.doi.org/10.1287/trsc.2017.0747
Burlacu, R., Egger, H., Gross, M., Martin, A., Pfetsch, M.E., Schewe, L.,... Skutella, M. (2017). A Global Optimization Approach for Instationary Gas Transport in Pipeline Networks.
Geißler, B., Morsi, A., Schewe, L., & Schmidt, M. (2017). Penalty Alternating Direction Methods for Mixed-Integer Optimization: A New View on Feasibility Pumps. SIAM Journal on Optimization, 27(3), 1611-1636. https://dx.doi.org/10.1137/16M1069687
Grimm, V., Grübel, J., Schewe, L., Schmidt, M., & Zöttl, G. (2017). Nonconvex Equilibrium Models for Gas Market Analysis: Failure of Standard Techniques and Alternative Modeling Approaches.
Grimm, V., Martin, A., Sölch, C., Weibelzahl, M., & Zöttl, G. (2017). Market-based Redispatch May Result in an Inefficient Dispatch.
Grimm, V., Schewe, L., Schmidt, M., & Zöttl, G. (2017). A Multilevel Model of the European Entry-Exit Gas Market.
Grimm, V., Schewe, L., Schmidt, M., & Zöttl, G. (2017). Uniqueness of Market Equilibrium on a Network: A Peak-Load Pricing Approach. European Journal of Operational Research, 261(3), 971 - 983. https://dx.doi.org/10.1016/j.ejor.2017.03.036
Groß, M., Pfetsch, M.E., Schewe, L., Schmidt, M., & Skutella, M. (2017). Algorithmic Results for Potential-Based Flows: Easy and Hard Cases.
Hante, F., Leugering, G., Martin, A., Schewe, L., & Schmidt, M. (2017). Challenges in Optimal Control Problems for Gas and Fluid Flow in Networks of Pipes and Canals: From Modeling to Industrial Applications. In Manchanda, Pammy; Lozi, René; Siddiqi, Abul Hasan (Eds.), Industrial Mathematics and Complex Systems: Emerging Mathematical Models, Methods and Algorithms (pp. 77-122). Singapore: Springer Singapore.
Hiller, B., Koch, T., Pfetsch, M.E., Schmidt, M., Geißler, B., Henrion, R.,... Steinbach, M.C. (2017). Capacity Evaluation for Large-Scale Gas Networks.
Krebs, V., & Schmidt, M. (2017). Uniqueness of Market Equilibria on Networks with Transport Costs.
Leugering, G., Martin, A., Schmidt, M., & Sirvent, M. (2017). Nonoverlapping Domain Decomposition for Optimal Control Problems governed by Semilinear Models for Gas Flow in Networks. Control and Cybernetics, 46(3), 191-225.
Liers, F., Martin, A., & Peter, A. (2017). Mathematical Analysis of Runway Scheduling with Aircraft Precedences.

Last updated on 2016-05-05 at 04:59