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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

Germany

E-Mail: daeubel #at# math.tu-berlin.de

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

## Publications

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. |