Matching on the Line Admits No o(√log n)-Competitive Algorithm

Authors Enoch Peserico, Michele Scquizzato



PDF
Thumbnail PDF

File

LIPIcs.ICALP.2021.103.pdf
  • Filesize: 0.52 MB
  • 3 pages

Document Identifiers

Author Details

Enoch Peserico
  • Università degli Studi di Padova, Italy
Michele Scquizzato
  • Università degli Studi di Padova, Italy

Acknowledgements

We are indebted to Kirk Pruhs and the anonymous reviewers for their constructive criticism and insightful observations.

Cite As Get BibTex

Enoch Peserico and Michele Scquizzato. Matching on the Line Admits No o(√log n)-Competitive Algorithm. In 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 198, pp. 103:1-103:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.ICALP.2021.103

Abstract

We present a simple proof that the competitive ratio of any randomized online matching algorithm for the line exceeds √{log₂(n +1)}/15 for all n = 2ⁱ-1: i ∈ ℕ, settling a 25-year-old open question.

Subject Classification

ACM Subject Classification
  • Theory of computation → Online algorithms
Keywords
  • Metric matching
  • online algorithms
  • competitive analysis

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads

References

  1. Antonios Antoniadis, Neal Barcelo, Michael Nugent, Kirk Pruhs, and Michele Scquizzato. A o(n)-competitive deterministic algorithm for online matching on a line. Algorithmica, 81(7):2917-2933, 2019. Google Scholar
  2. Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, and Bertrand Simon. Online metric algorithms with untrusted predictions. In Proceedings of the 37th ICML, pages 345-355, 2020. Google Scholar
  3. Antonios Antoniadis, Carsten Fischer, and Andreas Tönnis. A collection of lower bounds for online matching on the line. In Proceedings of the 13th LATIN, pages 52-65, 2018. Google Scholar
  4. Bernhard Fuchs, Winfried Hochstättler, and Walter Kern. Online matching on a line. Theor. Comput. Sci., 332(1-3):251-264, 2005. Google Scholar
  5. Anupam Gupta and Kevin Lewi. The online metric matching problem for doubling metrics. In Proceedings of the 39th ICALP, pages 424-435, 2012. Google Scholar
  6. Varun Gupta, Ravishankar Krishnaswamy, and Sai Sandeep. Permutation strikes back: The power of recourse in online metric matching. In Proceedings of the 23rd APPROX, pages 40:1-40:20, 2020. Google Scholar
  7. Bala Kalyanasundaram and Kirk Pruhs. Online weighted matching. J. Algorithms, 14(3):478-488, 1993. Google Scholar
  8. Bala Kalyanasundaram and Kirk Pruhs. Online network optimization problems. In Online Algorithms: The State of the Art, pages 268-280. Springer-Verlag, 1998. From the Dagstuhl Seminar on Online Algorithms, 1996. Google Scholar
  9. Samir Khuller, Stephen G. Mitchell, and Vijay V. Vazirani. On-line algorithms for weighted bipartite matching and stable marriages. Theor. Comput. Sci., 127(2):255-267, 1994. Google Scholar
  10. Elias Koutsoupias and Akash Nanavati. The online matching problem on a line. In Proceedings of the 1st WAOA, pages 179-191, 2003. Google Scholar
  11. Nicole Megow and Lukas Nölke. Online minimum cost matching with recourse on the line. In Proceedings of the 23rd APPROX, pages 37:1-37:16, 2020. Google Scholar
  12. Krati Nayyar and Sharath Raghvendra. An input sensitive online algorithm for the metric bipartite matching problem. In Proceedings of the 58th IEEE FOCS, pages 505-515, 2017. Google Scholar
  13. Sharath Raghvendra. Optimal analysis of an online algorithm for the bipartite matching problem on a line. In Proceedings of the 34th SoCG, pages 67:1-67:14, 2018. Google Scholar
  14. Rob van Stee. SIGACT news online algorithms column 27: Online matching on the line, part 1. SIGACT News, 47(1):99-110, 2016. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail