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Computing tight bounds via piecewise linear functions through the example of circle cutting problems

Rebennack, Steffen - In: Mathematical methods of operations research 84 (2016) 1, pp. 3-57

Persistent link: https://www.econbiz.de/10011673434

A tutorial on branch and cut algorithms for the maximum stable set problem

Rebennack, Steffen; Reinelt, Gerhard; Pardalos, Panos M. - In: International transactions in operational research : … 19 (2012) 1/2, pp. 161-199

Persistent link: https://www.econbiz.de/10015177410

Operations Research Proceedings 2022 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Karlsruhe, Germany, September 6-9, 2022

Grothe, Oliver (ed.); Nickel, Stefan (ed.); … - International Conference on Operations Research <2022, … - 2023

Chapter 1: A Two-Stage Stochastic Optimisation Model for Urban Same-Day Delivery with Micro-hubs -- Chapter 2: Computational Linear Bilevel Optimization -- Chapter 3: Faster Algorithms for Steiner Tree and Related Problems: From Theory to Practice -- Chapter 4: Prescriptive Analytics for...

Persistent link: https://www.econbiz.de/10014337016

A branch and cut solver for the maximum stable set problem

Rebennack, Steffen; Oswald, Marcus; Theis, Dirk Oliver; … - In: Journal of combinatorial optimization 21 (2011) 4, pp. 434-457

Persistent link: https://www.econbiz.de/10009129585

The unit commitment model with concave emissions costs : a hybrid Benders' Decomposition with nonconvex master problems

Van Dinter, Jennifer; Rebennack, Steffen; Kallrath, Josef; … - In: Benders decomposition and its application in engineering, (pp. 361-386). 2013

Persistent link: https://www.econbiz.de/10010210505

Tailored benders decomposition for a long-term power expansion model with short-term demand response

Lohmann, Timo; Rebennack, Steffen - In: Management science : journal of the Institute for … 63 (2017) 6, pp. 2027-2048

Persistent link: https://www.econbiz.de/10011707394

Dynamic convexification within nested Benders decomposition using Lagrangian relaxation : an application to the strategic bidding problem

Steeger, Gregory; Rebennack, Steffen - In: European journal of operational research : EJOR 257 (2017) 2, pp. 669-686

Persistent link: https://www.econbiz.de/10011639954

Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling

Lohmann, Timo; Hering, Amanda S.; Rebennack, Steffen - In: European journal of operational research : EJOR 255 (2016) 1, pp. 243-258

Persistent link: https://www.econbiz.de/10011530864

Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management : mitigation and emergency evacuation

Krasko, Vitaliy; Rebennack, Steffen - In: European journal of operational research : EJOR 263 (2017) 1, pp. 265-282

Persistent link: https://www.econbiz.de/10011793852

High-performance prototyping of decomposition methods in GAMS

Lohmann, Timo; Bussieck, Michael R.; Westermann, Lutz; … - In: INFORMS journal on computing : JOC 33 (2021) 1, pp. 34-50

Persistent link: https://www.econbiz.de/10012496350