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The height of increasing trees

Authors: Broutin, N.; Devroye, L.; Mcleish, E.; de La Salle, M.;

The height of increasing trees

Abstract

AbstractWe extend results about heights of random trees (Devroye, JACM33 (1986) 489–498, SIAM J COMP28 (1998) 409–432). In this paper, a general split tree model is considered in which the normalized subtree sizes of nodes converge in distribution. The height of these trees is shown to be in probability asymptotic toclognfor some constantc. We apply our results to obtain a law of large numbers for the height of all polynomial varieties of increasing trees (Bergeron et al. Lect Notes Comput Sci(1992) 24–48).© 2008 Wiley Periodicals, Inc. Random Struct. Alg., 2008

Country
France
Keywords

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], increasing tree, Random graphs (graph-theoretic aspects), probabilistic analysis, random tree, Trees, height, branching process

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    22
    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).
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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!
22
Top 10%
Top 10%
Average
bronze
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