Relaxation in graph coloring and satisfiability problems
Abstract
Using T=0 Monte Carlo simulation, we study the relaxation of graph coloring (K-COL) and satisfiability (K-SAT), two hard problems that have recently been shown to possess a phase transition in solvability as a parameter is varied. A transition from exponentially fast to power law relaxation is found. The transition occurs for a smaller value of the parameter than the solvability transition. The coloring problem for colorable and clustered graphs, and a ferromagnetic Potts model on a random graph are also studied.Keywords
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