We propose a modified belief propagation algorithm, with over-relaxed dynamics. Such an algorithm turns out to be generally more stable and faster than ordinary belief propagation. We characterize the performance of the algorithm, employed as a tool for combinatorial optimization, on the random satisfiability problem. Moreover, we trace a connection with a recently proposed double-loop algorithm for minimizing Bethe and Kikuchi free energies.
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Marco Pretti (2005) studied this question.
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