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Theoretical Computer Science
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Theoretical Computer Science
Article . 2009
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 2009 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
https://doi.org/10.1007/119174...
Part of book or chapter of book . 2006 . Peer-reviewed
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Improved Edge-Coloring with Three Colors

Authors: ukasz Kowalik;

Improved Edge-Coloring with Three Colors

Abstract

AbstractWe show an O(1.344n)=O(20.427n) algorithm for edge-coloring an n-vertex graph using three colors. Our algorithm uses polynomial space. This improves over the previous O(2n/2) algorithm of Beigel and Eppstein [R. Beigel, D. Eppstein, 3-coloring in time O(1.3289n), J. Algorithms 54 (2) (2005) 168–204.]. We apply a very natural approach of generating inclusion–maximal matchings of the graph. The time complexity of our algorithm is estimated using the “measure and conquer” technique.

Keywords

Algorithm, Exponential-time, Edge-coloring, Measure and conquer, Theoretical Computer Science, Computer Science(all)

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Average
hybrid