The phase transition in random Horn satisfiability and its algorithmic implications
Data Structures and Algorithms
2007-05-23 v1 Computational Complexity
Abstract
Let c>0 be a constant, and be a random Horn formula with n variables and clauses, chosen uniformly at random (with repetition) from the set of all nonempty Horn clauses in the given variables. By analyzing \PUR, a natural implementation of positive unit resolution, we show that \lim_{n\goesto \infty} \PR ({\Phi is satisfiable})= 1-F(e^{-c}), where . Our method also yields as a byproduct an average-case analysis of this algorithm.
Cite
@article{arxiv.cs/9912001,
title = {The phase transition in random Horn satisfiability and its algorithmic implications},
author = {Gabriel Istrate},
journal= {arXiv preprint arXiv:cs/9912001},
year = {2007}
}
Comments
26 pages. Journal version of papers in AIM'98, SODA'99. Submitted to Random Structures and Algorithms