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University of Illinois at Urbana-Champaign

Algorithms on Clustering, Orienteering, and Conflict -Free Coloring

Abstract

dc:description

In the last part, we present randomized algorithms for online conflict-free coloring of points in the plane, with respect to intervals, halfplanes, congruent disks, and nearly-equal axis-parallel rectangles. In all these cases, the coloring algorithms use O(log n) colors, with high probability. We also present the first efficient deterministic algorithm for the CF coloring of points in the plane with respect to nearly-equal axis-parallel rectangles, using O(log 12 n) colors.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Ke
Contributors dc:contributor
  • Har-Peled, Sariel

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3301113
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81800

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chen, Ke. Algorithms on Clustering, Orienteering, and Conflict -Free Coloring. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81800