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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 COMBINATORICAarrow_drop_down
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Article . 1992 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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
zbMATH Open
Article . 1992
Data sources: zbMATH Open
DBLP
Article . 1992
Data sources: DBLP
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On packing bipartite graphs

Authors: Péter Hajnal; Mario Szegedy;

On packing bipartite graphs

Abstract

Two simple graphs \(G\) and \(H\) can be packed if \(G\) is isomorphic to a subgraph of the complement \(\overline H\) of \(H\). A sufficient condition is known for the existence of packing in terms of the product of the maximal degrees of \(G\) and \(H\). The paper improves this result for bipartite graphs by presenting a condition involving products of a maximum degree with an average degree, which guarantees a packing of the two bipartite graphs.

Related Organizations
Keywords

bipartite graphs, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), packing, Combinatorial aspects of packing and covering, degree

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    popularity
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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!
7
Average
Top 10%
Average
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