Better tradeoffs for exact distance oracles in planar graphs

47Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

We present an O(n1:5)-space distance oracle for directed planar graphs that answers distance queries in O(log n) time. Our oracle both significantly simplifies and significantly improves the recent oracle of Cohen-Addad, Dahlgaard and Wulff-Nilsen [FOCS 2017], which uses O(n5=3)-space and answers queries in O(log n) time. We achieve this by designing an elegant and efficient point location data structure for Voronoi diagrams on planar graphs. We further show a smooth tradeoff between space and query-time. For any S 2 [n; n2], we show an oracle of size S that answers queries in ~O (maxf1; n1:5=Sg) time. This new tradeoff is currently the best (up to polylogarithmic factors) for the entire range of S and improves by polynomial factors over all previously known tradeoffs for the range S 2 [n; n5=3].

References Powered by Scopus

A data structure for dynamic trees

771Citations
N/AReaders
Get full text

Efficient Algorithms for Shortest Paths in Sparse Networks

748Citations
N/AReaders
Get full text

The LCA problem revisited

650Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Subquadratic algorithms for the diameter and the sum of pairwise distances in planar graphs

44Citations
N/AReaders
Get full text

Almost optimal distance oracles for planar graphs

35Citations
N/AReaders
Get full text

Planar diameter via metric compression

30Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Gawrychowski, P., Mozes, S., Weimann, O., & Wulff-Nilsen, C. (2018). Better tradeoffs for exact distance oracles in planar graphs. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 515–529). Association for Computing Machinery. https://doi.org/10.1137/1.9781611975031.34

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 8

57%

Researcher 4

29%

Lecturer / Post doc 2

14%

Readers' Discipline

Tooltip

Computer Science 12

80%

Medicine and Dentistry 1

7%

Physics and Astronomy 1

7%

Business, Management and Accounting 1

7%

Save time finding and organizing research with Mendeley

Sign up for free