Front Matter, Table of Contents, Preface, Programm Commitee, External Reviewers
24th Annual European
Symposium on Algorithms
ESA 2016, August 22–24, 2016, Aarhus, Denmark
Edited by
Piotr Sankowski
Christos Zaroliagis
LIPIcs – Vol. 57 – ESA 2016
www.dagstuhl.de/lipics
Editors
Piotr Sankowski
Institute of Infortmatics
University of Warsawa, Poland
Christos Zaroliagis
Department of Computer Engineering & Informatics
University of Patras, Greece
ACM Classification 1998
E.1 Data Structures, F.2.2 Nonnumerical Algorithms and Problems, G.1.6 Optimization, G.2 Discrete
Mathematics, G.4 Mathematical Software, I.1.2 Algorithms, I.2.8 Problem Solving, Control Methods,
and Search, I.3.5 Computational Geometry and Object Modeling.
ISBN 978-3-95977-015-6
Published online and open access by
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, Saarbrücken/Wadern,
Germany. Online available at http://www.dagstuhl.de/dagpub/978-3-95977-015-6.
Publication date
August, 2016
Bibliographic information published by the Deutsche Nationalbibliothek
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Digital Object Identifier: 10.4230/LIPIcs.ESA.2016.0
ISBN 978-3-95977-015-6
ISSN 1868-8969
http://www.dagstuhl.de/lipics
0:iii
LIPIcs – Leibniz International Proceedings in Informatics
LIPIcs is a series of high-quality conference proceedings across all fields in informatics. LIPIcs volumes
are published according to the principle of Open Access, i.e., they are available online and free of charge.
Editorial Board
Susanne Albers (TU München)
Chris Hankin (Imperial College London)
Deepak Kapur (University of New Mexico)
Michael Mitzenmacher (Harvard University)
Madhavan Mukund (Chennai Mathematical Institute)
Catuscia Palamidessi (INRIA)
Wolfgang Thomas (Chair, RWTH Aachen)
Pascal Weil (CNRS and University Bordeaux)
Reinhard Wilhelm (Saarland University)
ISSN 1868-8969
http://www.dagstuhl.de/lipics
ESA 2016
To all algorithmicists
Contents
Preface
Piotr Sankowski and Christos Zaroliagis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
0:xiii
Invited Papers
2-Connectivity in Directed Graphs
Loukas Georgiadis, Giuseppe F. Italiano, and Nikos Parotsidis . . . . . . . . . . . . . . . . . . .
1:1–1:14
Algorithms with Provable Guarantees for Clustering
Ola Svensson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2:1–2:1
Regular Papers
Beating Ratio 0.5 for Weighted Oblivious Matching Problems
Melika Abolhassani, T.-H. Hubert Chan, Fei Chen, Hossein Esfandiari,
MohammadTaghi Hajiaghayi, Hamid Mahini, and Xiaowei Wu . . . . . . . . . . . . . . . . . . .
3:1–3:18
Outer Common Tangents and Nesting of Convex Hulls in Linear Time and
Constant Workspace
Mikkel Abrahamsen and Bartosz Walczak . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4:1–4:15
Sublinear Distance Labeling
Stephen Alstrup, Søren Dahlgaard, Mathias Bæ Tejs Knudsen, and Ely Porat . . . .
5:1–5:15
Probabilistic Routing for On-Street Parking Search
Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann,
Armin Razmjou, Martin S. Krejca, Ralf Rothenberger, and Tobias Friedrich . . . . . .
6:1–6:13
Scalable Exact Visualization of Isocontours in Road Networks via Minimum-Link
Paths
Moritz Baum, Thomas Bläsius, Andreas Gemsa, Ignaz Rutter,
and Franziska Wegner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
7:1–7:18
Computing Equilibria in Markets with Budget-Additive Utilities
Xiaohui Bei, Jugal Garg, Martin Hoefer, and Kurt Mehlhorn . . . . . . . . . . . . . . . . . . . .
8:1–8:14
On the Lattice Distortion Problem
Huck Bennett, Daniel Dadush, and Noah Stephens-Davidowitz . . . . . . . . . . . . . . . . . . .
9:1–9:17
Plurality Consensus in Arbitrary Graphs: Lessons Learned from Load Balancing
Petra Berenbrink, Tom Friedetzky, Peter Kling, Frederik Mallmann-Trenn,
and Chris Wastell . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10:1–10:18
On the Hardness of Learning Sparse Parities
Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, and Rishi Saket . . . . . . . 11:1–11:17
Online Algorithms for Multi-Level Aggregation
Marcin Bienkowski, Martin Böhm, Jaroslaw Byrka, Marek Chrobak,
Christoph Dürr, Lukáš Folwarczný, Łukasz Jeż, Jiří Sgall, Nguyen Kim Thang,
and Pavel Veselý . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12:1–12:17
24th Annual European Symposium on Algorithms (ESA 2016).
Editors: Piotr Sankowski and Christos Zaroliagis
Leibniz International Proceedings in Informatics
Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany
0:viii
Contents
Compact and Fast Sensitivity Oracles for Single-Source Distances
Davide Bilò, Luciano Gualà, Stefano Leucci, and Guido Proietti . . . . . . . . . . . . . . . . . 13:1–13:14
Efficient Algorithms with Asymmetric Read and Write Costs
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu,
and Julian Shun . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14:1–14:18
Hyperbolic Random Graphs:
Separators and Treewidth
Thomas Bläsius, Tobias Friedrich, and Anton Krohmer . . . . . . . . . . . . . . . . . . . . . . . . . . 15:1–15:16
Efficient Embedding of Scale-Free Graphs in the Hyperbolic Plane
Thomas Bläsius, Tobias Friedrich, Anton Krohmer, and Sören Laue . . . . . . . . . . . . . . 16:1–16:18
Fully Dynamic Spanners with Worst-Case Update Time
Greg Bodwin and Sebastian Krinninger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17:1–17:18
Fixed-Parameter Approximability of Boolean MinCSPs
Édouard Bonnet, László Egri, and Dániel Marx . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18:1–18:18
Parameterized Hardness of Art Gallery Problems
Édouard Bonnet and Tillmann Miltzow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19:1–19:17
KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation
Michele Borassi and Emanuele Natale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20:1–20:18
Separation of Cycle (...truncated)