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Karl DäubelKarl Däubel

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Karl Däubel


Research assistant

Fakultät II - Mathematik und Naturwissenschaften
Institut für Mathematik, Sekr. MA 5-2

Technische Universität Berlin
Straße des 17. Juni 136
10623 Berlin

Tel.: +49 (0)30 314-78657
Fax: +49 (0)30 314-25191
Room: MA 514
Office hour: by appointment

Research Interests

Combinatorial optimization and algorithms:

  • unsplittable flows/Ring Loading
  • applications in logistics for large scale networks
  • incremental flows


An Improved Upper Bound for the Ring Loading Problem
Citation key Daeubel2020
Author Däubel, Karl
Title of Book Approximation and Online Algorithms
Pages 89–105
Year 2020
DOI 10.1007/978-3-030-39479-0_7
Editor Springer International Publishing
Abstract The Ring Loading Problem emerged in the 1990s to model an important special case of telecommunication networks (SONET rings) which gained attention from practitioners and theorists alike. Given an undirected cycle on n nodes together with non-negative demands between any pair of nodes, the Ring Loading Problem asks for an unsplittable routing of the demands such that the maximum cumulated demand on any edge is minimized. Let L be the value of such a solution. In the relaxed version of the problem, each demand can be split into two parts where the first part is routed clockwise while the second part is routed counter-clockwise. Denote with L* the maximum load of a minimum split routing solution. In a landmark paper, Schrijver, Seymour and Winkler [SSW '98] showed that L <= L* + 3/2 D, where D is the maximum demand value. They also found (implicitly) an instance of the Ring Loading Problem with L = L* + 101/100 D. Recently, Skutella [Sku '16] improved these bounds by showing that L <= L* + 19/14 D, and there exists an instance with L = L* + 11/10 D. We contribute to this line of research by showing that L <= L* + 13/10 D. We also take a first step towards lower and upper bounds for small instances.
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