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Minimizing energy below the glass thresholds

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arxiv cond-mat/0402529 v4 pith:3OBP2M76 submitted 2004-02-20 cond-mat.dis-nn

Minimizing energy below the glass thresholds

classification cond-mat.dis-nn
keywords energybelowproblemversionalgorithmanalyticbacktrackbound
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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