Constraint Satisfaction by Survey Propagation
classification
❄️ cond-mat.dis-nn
cs.CC
keywords
constraintrandomproblemspropagationsatisfactionsurveyalgorithmapplies
read the original abstract
Survey Propagation is an algorithm designed for solving typical instances of random constraint satisfiability problems. It has been successfully tested on random 3-SAT and random $G(n,\frac{c}{n})$ graph 3-coloring, in the hard region of the parameter space. Here we provide a generic formalism which applies to a wide class of discrete Constraint Satisfaction Problems.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.