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AAAI 1997

A Practical Algorithm for Finding Optimal Triangulations

Conference Paper Constraint Satisfaction Problems and Bayes Networks Artificial Intelligence

Abstract

An algorithm called QUICKTREE is developed for finding a triangulation T of a given undirected graph G such that the size of T’s maximal clique is minimum and such that no other triangulation of G is a subgraph of T. We have tested QUICKTREE on graphs of up to 100 nodes for which the maximum clique in an optimal triangulation is of size 11. This is the first algorithm that can optimally triangulate graphs of such size in a reasonable time frame. This algorithm is useful for constraint satisfaction problems and for Bayesian inference through the clique tree inference algorithm.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
977773201419934880