Rolfes, Jan

2024

• Dienstbier J., Liers F., Rolfes J.:
  A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions
  (2024)
  DOI: 10.48550/arXiv.2310.05612
  URL: https://arxiv.org/abs/2310.05612
• Dienstbier J., Liers F., Rolfes J.:
  A Safe Approximation Based on Mixed-Integer Optimization for Non-Convex Distributional Robustness Governed by Univariate Indicator Functions
  (2024)
  URL: https://arxiv.org/abs/2301.11185

2023

• Kronqvist J., Li B., Rolfes J.:
  A mixed-integer approximation of robust optimization problems with mixed-integer adjustments
  In: Optimization and Engineering (2023)
  ISSN: 1389-4420
  DOI: 10.1007/s11081-023-09843-7
• Kronqvist J., Li B., Rolfes J., Zhao S.:
  Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems (Conference contribution, accepted)
  Annual Conference on Machine Learning, Optimization and Data science (LOD) (Grasmere, Lake District, England - UK, 22. September 2023 - 26. September 2023)
  URL: https://arxiv.org/pdf/2305.06785.pdf
• Rolfes J., Schüler R., Zimmermann M.:
  Bounds on polarization problems on compact sets via mixed integer programming
  (2023)
  URL: https://arxiv.org/abs/2303.10101

2022

• Adelhütte D., Biefel C., Kuchlbauer M., Rolfes J.:
  Pareto robust optimization on Euclidean vector spaces
  In: Optimization Letters (2022)
  ISSN: 1862-4472
  DOI: 10.1007/s11590-022-01929-y
• Adelhütte D., Biefel C., Kuchlbauer M., Rolfes J.:
  Pareto Robust Optimization on Euclidean Vector Spaces
  In: Optimization Letters (2022)
  ISSN: 1862-4472
  DOI: 10.1007/s11590-022-01929-y
  (Techreport)
• Biefel C., Liers F., Rolfes J., Schewe L., Zöttl G.:
  Robust Market Equilibria under Uncertain Cost
  In: European Journal of Operational Research 302 (2022), p. 1230-1241
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2022.02.030
  URL: https://opus4.kobv.de/opus4-trr154/frontdoor/index/index/searchtype/latest/docId/417/start/0/rows/10
• Biefel C., Liers F., Rolfes J., Schmidt M.:
  Affinely Adjustable Robust Linear Complementarity Problems
  In: SIAM Journal on Optimization 32 (2022), p. 152-172
  ISSN: 1052-6234
  DOI: 10.1137/20M1359778

2021

• Dienstbier J., Aigner KM., Rolfes J., Peukert W., Segets D., Pflug L., Liers F.:
  Robust Optimization in Nanoparticle Technology: A Proof of Principle by Quantum Dot Growth in a Residence Time Reactor
  In: Computers & Chemical Engineering (2021)
  ISSN: 0098-1354
  DOI: 10.1016/j.compchemeng.2021.107618
  URL: http://www.optimization-online.org/DB_HTML/2021/02/8262.html

2019

• Rolfes J.:
  Convex Optimization Techniques for Geometric Covering Problems (Dissertation, 2019)
  URL: https://kups.ub.uni-koeln.de/9917/

2018

• Rolfes J., Vallentin F.:
  Covering compact metric spaces greedily
  In: Acta Mathematica Hungarica 155 (2018), p. 130--140
  ISSN: 0236-5294
  DOI: 10.1007/s10474-018-0829-4

2016

• Dostert M., Krupp S., Rolfes J.:
  Das Problem der Kugelpackung
  (2016)
  DOI: 10.14760/SNAP-2016-004-EN
  URL: https://imaginary.org/snapshot/das-problem-der-kugelpackung
  (online publication)