Some remarks on the survey decimation algorithm for K-satisfiability
计算复杂性
2007-05-23 v1 无序系统与神经网络
数据结构与算法
摘要
In this note we study the convergence of the survey decimation algorithm. An analytic formula for the reduction of the complexity during the decimation is derived. The limit of the converge of the algorithm are estimated in the random case: interesting phenomena appear near the boundary of convergence.
引用
@article{arxiv.cs/0301015,
title = {Some remarks on the survey decimation algorithm for K-satisfiability},
author = {Giorgio Parisi},
journal= {arXiv preprint arXiv:cs/0301015},
year = {2007}
}