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https://doi.org/10.1007/115337...
Part of book or chapter of book . 2005 . Peer-reviewed
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Article . 2005 . Peer-reviewed
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A Tight Analysis of the Maximal Matching Heuristic

Authors: Cardinal, J.; Labbé, M.; Langerman, S.; Levy, E.; Mélot, Hadrien;

A Tight Analysis of the Maximal Matching Heuristic

Abstract

We study the worst-case performance of the maximal matching heuristic applied to the Minimum Vertex Cover and Minimum Maximal Matching problems, through a careful analysis of tight examples. We show that the tight worst-case approximation ratio is asymptotic to ${\rm min}\, \{2, 1/(1-\sqrt{1-\epsilon})\}$ for graphs with an average degree at least en and to min {2, 1/e} for graphs with a minimum degree at least en.

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Belgium
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Keywords

Mathématiques, Physical, chemical, mathematical & earth Sciences, Physique, chimie, mathématiques & sciences de la terre, Informatique mathématique, Ingénierie électrique & électronique, Electrical & electronics engineering, Mathematics, Engineering, computing & technology, Ingénierie, informatique & technologie

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    9
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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!
9
Average
Top 10%
Average
Green