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Random Structures and Algorithms
Article . 2004 . Peer-reviewed
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2004
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Article . 2018
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Regularity Lemma for k‐uniform hypergraphs

Regularity lemma for \(k\)-uniform hypergraphs
Authors: Vojtech Rödl; Jozef Skokan;

Regularity Lemma for k‐uniform hypergraphs

Abstract

AbstractSzemerédi's Regularity Lemma proved to be a very powerful tool in extremal graph theory with a large number of applications. Chung [Regularity lemmas for hypergraphs and quasi‐randomness, Random Structures Algorithms 2 (1991), 241–252], Frankl and Rödl [The uniformity lemma for hypergraphs, Graphs Combin 8 (1992), 309–312; Extremal problems on set systems, Random Structures Algorithms 20 (2002), 131–164] considered several extensions of Szemerédi's Regularity Lemma to hypergraphs. In particular, [Extremal problems on set systems, Random Structures Algorithms 20 (2002), 131–164] contains a regularity lemma for 3‐uniform hypergraphs that was applied to a number of problems. In this paper, we present a generalization of this regularity lemma to k‐uniform hypergraphs. Similar results were recently independently and alternatively obtained by W. T. Gowers. © 2004 Wiley Periodicals, Inc. Random Struct. Alg., 2004

Keywords

Extremal problems in graph theory, regularity lemma, regular partition, Hypergraphs, uniform hypergraphs

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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!
143
Top 10%
Top 1%
Top 10%
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