Search Results for author: Dorothea Wagner

Found 8 papers, 5 papers with code

Advanced Flow-Based Multilevel Hypergraph Partitioning

2 code implementations26 Mar 2020 Lars Gottesbüren, Michael Hamann, Sebastian Schlag, Dorothea Wagner

We present an improvement to the flow-based refinement framework of KaHyPar-MF, the current state-of-the-art multilevel $k$-way hypergraph partitioning algorithm for high-quality solutions.

Data Structures and Algorithms

Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm

1 code implementation3 Jul 2019 Lars Gottesbüren, Michael Hamann, Dorothea Wagner

The solution quality is only marginally worse than that of the best-performing hypergraph partitioners KaHyPar and hMETIS, while being one order of magnitude faster.

Data Structures and Algorithms

UnLimited TRAnsfers for Multi-Modal Route Planning: An Efficient Solution

4 code implementations11 Jun 2019 Moritz Baum, Valentin Buchhold, Jonas Sauer, Dorothea Wagner, Tobias Zündorf

We study a multimodal journey planning scenario consisting of a public transit network and a transfer graph which represents a secondary transportation mode (e. g., walking, cycling, e-scooter).

Data Structures and Algorithms

Connection Scan Algorithm

4 code implementations17 Mar 2017 Julian Dibbelt, Thomas Pajor, Ben Strasser, Dorothea Wagner

The output consist is a sequence of vehicles such as trains or buses that a traveler should take to get from the source to the target.

Data Structures and Algorithms

Route Planning in Transportation Networks

no code implementations20 Apr 2015 Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, Renato F. Werneck

We survey recent advances in algorithms for route planning in transportation networks.

Data Structures and Algorithms G.2.1; G.2.2; G.2.3; H.2.8; H.3.5; H.4.2

Customizable Contraction Hierarchies

no code implementations3 Feb 2014 Julian Dibbelt, Ben Strasser, Dorothea Wagner

We consider the problem of quickly computing shortest paths in weighted graphs given auxiliary data derived in an expensive preprocessing phase.

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