Computing hypergraph width measures exactly
Computational Complexity
2011-06-24 v1 Data Structures and Algorithms
Abstract
Hypergraph width measures are a class of hypergraph invariants important in studying the complexity of constraint satisfaction problems (CSPs). We present a general exact exponential algorithm for a large variety of these measures. A connection between these and tree decompositions is established. This enables us to almost seamlessly adapt the combinatorial and algorithmic results known for tree decompositions of graphs to the case of hypergraphs and obtain fast exact algorithms. As a consequence, we provide algorithms which, given a hypergraph H on n vertices and m hyperedges, compute the generalized hypertree-width of H in time O*(2^n) and compute the fractional hypertree-width of H in time O(m*1.734601^n).
Cite
@article{arxiv.1106.4719,
title = {Computing hypergraph width measures exactly},
author = {Lukas Moll and Siamak Tazari and Marc Thurley},
journal= {arXiv preprint arXiv:1106.4719},
year = {2011}
}
Comments
12 pages, 1 figure