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Entropy landscape and non-Gibbs solutions in constraint satisfaction problems

2008/01/18 by L. Dall'Asta, A. Ramezanpour, R. Zecchina · 1 citation
Physics and Astronomy · Computer Science · #cond-mat.stat-mech #cs.CC

paper · pdf · doi:10.1103/physreve.77.031118

published as Phys. Rev. E 77, 031118 (2008) · 38 pages, 10 figures

arxiv created 2008/01/18 · arxiv updated 2009/12/01

Abstract

We study the entropy landscape of solutions for the bicoloring problem in random graphs, a representative difficult constraint satisfaction problem. Our goal is to classify which type of clusters of solutions are addressed by different algorithms. In the first part of the study we use the cavity method to obtain the number of clusters with a given internal entropy and determine the phase diagram of the problem, e.g. dynamical, rigidity and SAT-UNSAT transitions. In the second part of the paper we analyze different algorithms and locate their behavior in the entropy landscape of the problem. For instance we show that a smoothed version of a decimation strategy based on Belief Propagation is able to find solutions belonging to sub-dominant clusters even beyond the so called rigidity transition where the thermodynamically relevant clusters become frozen. These non-equilibrium solutions belong to the most probable unfrozen clusters.

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