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American Physical Society, Physical review E: Statistical, nonlinear, and soft matter physics, 3(70), 2004

DOI: 10.1103/physreve.70.036107

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Minimizing energy below the glass thresholds

Journal article published in 2004 by Demian A. Battaglia, Michal Kolár ORCID, Riccardo Zecchina
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Focusing on the optimization version of the random K-satisfiability problem, the MAX-K-SAT problem, we study the performance of the finite energy version of the Survey Propagation (SP) algorithm. We show that a simple (linear time) backtrack decimation strategy is sufficient to reach configurations well below the lower bound for the dynamic threshold energy and very close to the analytic prediction for the optimal ground states. A comparative numerical study on one of the most efficient local search procedures is also given.