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Journal of Combinatorial Theory Series A
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Journal of Combinatorial Theory Series A
Article . 1999
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Orthogonal Decomposition and Packing of Complete Graphs

Orthogonal decomposition and packing of complete graphs
Authors: Yair Caro; Raphael Yuster;

Orthogonal Decomposition and Packing of Complete Graphs

Abstract

A \(k\)-orthogonal \(H\)-decomposition of a graph \(G\) is a set of \(k\) edge-decompositions of \(G\) into copies of \(H\) such that any two copies of \(H\) from different decompositions in the set intersect on at most one edge. The authors prove that there is \(N= N(k,r)\) such that for every \(n>N\), if \(K_n\) has a \(K_r\)-decomposition then it also has a \(k\)-orthogonal \(K_r\)-decomposition. The authors also present a method to find a \(k\)-orthogonal packing of \(K_n\) if \(K_n\) does not have a \(K_r\)-decomposition. They consider the complexity of deciding the existence of \(k\)-orthogonal decompositions and propose the following conjecture: for every fixed graph \(H\) having at least three edges in some connected component, and for every fixed positive integer \(k\), it is NP-complete to decide whether a given input graph has a \(k\)-orthogonal \(H\)-decomposition.

Related Organizations
Keywords

edge-decompositions, Computational Theory and Mathematics, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), packing, Discrete Mathematics and Combinatorics, Theoretical Computer Science

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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