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Home > Operations Research Proceedings 2017: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017 > Convex Approach with Sub-gradient Method to Robust Service System Design
Operations Research Proceedings 2017: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017 |
Natalia Kliewer; Jan Fabian Ehmke; Ralf Borndörfer
Springer International Publishing
Operations Research Proceedings 2017: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017
Convex Approach with Sub-gradient Method to Robust Service System Design
Authors

Jaroslav Janáček; Marek Kvet

ARI Id

1665121370773_4919072

Access

Not Available Free

Pages

421-427

DOI

10.1007/978-3-319-89920-6_56

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-89920-6_56

Table of Contents of Book
Showing 1 to 20 of 123 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xvi
Front Matter
1-1
Solving the Time-Dependent Shortest Path Problem Using Super-Optimal Wind
Adam Schienle
3-9
Anticipation in Dynamic Vehicle Routing
Marlin W. Ulmer
11-16
Shapley Value Based Allocation for Multi-objective Cooperative Problems
Igor Kozeletskyi
17-23
Handling Critical Jobs Online: Deadline Scheduling and Convex-Body Chasing
Kevin Schewior
25-29
Methodological Advances and New Formulations for Bilevel Network Design Problems
Pirmin Fontaine
31-36
Stable Clusterings and the Cones of Outer Normals
Felix Happach
37-43
The Two Dimensional Bin Packing Problem with Side Constraints
Markus Seizinger
45-50
Front Matter
51-51
A First Derivative Potts Model for Segmentation and Denoising Using ILP
Ruobing Shen; Gerhard Reinelt; Stephane Canu
53-59
Consumer’s Sport Preference as a Predictor for His/Her Response to Brand Personality
Friederike Paetz; Regina Semmler-Ludwig
61-66
Detecting Changes in Statistics of Road Accidents to Enhance Road Safety
Katherina Meißner; Cornelius Rüther; Klaus Ambrosi
67-72
A Mixed Integer Linear Program for Election Campaign Optimization Under D’Hondt Rule
Evren Güney
73-79
Long-Term Projections for Commodity Prices—The Crude Oil Price Using Dynamic Bayesian Networks
Thomas Schwarz; Hans-Joachim Lenz; Wilhelm Dominik
81-87
Prognosis of EPEX SPOT Electricity Prices Using Artificial Neural Networks
Johannes Hussak; Stefanie Vogl; Ralph Grothmann; Merlind Weber
89-94
Front Matter
95-95
Computing the Splitting Preconditioner for Interior Point Method Using an Incomplete Factorization Approach
Marta Velazco; Aurelio R. L. Oliveira
97-103
Quadratic Support Functions in Quadratic Bilevel Problems
Oleg Khamisov
105-110
Front Matter
111-111
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 123 entries
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