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Exponential lower bounds for the number of words of uniform length avoiding a pattern

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2007 English Publisher:Elsevier BVJournal:Information and Computation, volume 205, pages 1,295-1,306 (issn: 0890-5401, Copyright policy )
Authors: Jason P. Bell; Teow Lim Goh;

doi: 10.1016/j.ic.2007.02.004

Exponential lower bounds for the number of words of uniform length avoiding a pattern

Abstract

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Related Organizations
Keywords

avoidable patterns, pattern avoidance, Combinatorics on words, Computational Theory and Mathematics, Pattern avoidance, combinatorics on words, Avoidable patterns, Theoretical Computer Science, Information Systems, Computer Science Applications

  • BIP!
    Impact byBIP!
    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).
    		 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).
    		 Top 10%
    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
hybrid