Key points are not available for this paper at this time.
Chordal graphs arise naturally in the study of Gaussian elimination on sparse symmetric matrices; acyclic hypergraphs arise in the study of relational data bases. Rose, Tarjan and Lueker SIAM J. Comput., 5 (1976), pp. 266–283 have given a linear-time algorithm to test whether a graph is chordal, which Yannakakis has modified to test whether a hypergraph is acyclic. Here we develop a simplified linear-time test for graph chordality and hypergraph acyclicity. The test uses a new kind of graph (and hypergraph) search, which we call maximum cardinality search A variant of the method gives a way to selectively reduce acyclic hypergraphs, which is needed for evaluating queries in acyclic relational data bases.
Tarjan et al. (Wed,) studied this question.