The GYO algorithm is an algorithm that applies to hypergraphs. The algorithm takes as input a hypergraph and determines if the hypergraph is α-acyclic. If so, it computes a decomposition of the hypergraph. The algorithm was proposed in 1979 by

Graham Graham and Graeme may refer to: People * Graham (given name), an English-language given name * Graham (surname), an English-language surname * Graeme (surname), an English-language surname * Graham (musician) (born 1979), Burmese singer * Clan G ...

and independently by Yu and Özsoyoğlu, hence its name.

Definition

A hypergraph is a generalization of a graph. Formally, a hypergraph

H = (V, E)

consists of a set of vertices ''V'', and of a set ''E'' of

hyperedge This is a glossary of graph theory. Graph theory is the study of graphs, systems of nodes or vertices connected in pairs by lines or edges. Symbols A B ...

s, each of which is a subset of the vertices ''V''. Given a hypergraph, we can define its ''primal graph'' as the undirected graph defined on the same set of vertices, in which we put an edge between any two vertices which occur together in some hyperedge. A hypergraph ''H'' is α-acyclic if it satisfies two conditions: being chordal and being conformal. More precisely, we say that ''H'' is chordal if its primal graph is a

chordal graph In the mathematical area of graph theory, a chordal graph is one in which all cycles of four or more vertices have a ''chord'', which is an edge that is not part of the cycle but connects two vertices of the cycle. Equivalently, every induced cy ...

. We say that ''H'' is conformal if, for every clique of the primal graph, there is a hyperedge of ''H'' containing all the vertices of the clique. The GYO algorithm takes as input a hypergraph and determines if it is α-acyclic in this sense.

Principle of the algorithm

The algorithm iteratively removes the so-called ''ears'' of the hypergraph, until the hypergraph is fully decomposed. Formally, we say that a hyperedge ''e'' of a hypergraph

H

is an ear if one of the following two conditions holds: *

e

is ''isolated'', i.e., for every other hyperedge

e'

, we have

e \cap e' = \emptyset

; *

e

is almost ''covered'' by another hyperedge, i.e., there exists another hyperedge

f

such that all vertices in

e \setminus f

occur only in

e

. In particular, every edge that is a subset of another edge is an ear. The GYO algorithm then proceeds as follows: * Find an ear ''e'' in ''H''. * Remove ''e'' and remove all vertices of ''H'' that are only in ''e''. If the algorithm successfully eliminates all vertices, then the hypergraph is α-acylic. Otherwise, if the algorithm gets to a non-emtpy hypergraph that has no ears, then the original hypergraph was not α-acyclic:

References

* {{Cite book , last1=Abiteboul , first1=Serge , title=Foundations of Databases: The Logical Level , last2=Hull , first2=Richard , last3=Vianu , first3=Victor , date=1994-12-02 , publisher=Pearson , isbn=978-0-201-53771-0 , location=Reading, Mass. , language=English , url=http://webdam.inria.fr/Alice/pdfs/all.pdf See Algorithm 6.4.4.

Notes

Database algorithms Graph algorithms