A review of the Statistical Mechanics approach to Random Optimization Problems

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dc.creatorAltarelli, Fabrizio
dc.creatorMonasson, Remi
dc.creatorSemerjian, Guilhem
dc.creatorZamponi, Francesco
dc.date2008-02-13
dc.date.accessioned2026-07-07T12:26:52Z
dc.date.available2026-07-07T12:26:52Z
dc.descriptionWe review the connection between statistical mechanics and the analysis of random optimization problems, with particular emphasis on the random k-SAT problem. We discuss and characterize the different phase transitions that are met in these problems, starting from basic concepts. We also discuss how statistical mechanics methods can be used to investigate the behavior of local search and decimation based algorithms.
dc.description26 pages, 8 figures. Contribution to the book "Handbook of Satisfiability" to be published in 2008 by IOS press
dc.identifierhttps://arxiv.org/abs/0802.1829
dc.identifierhttp://arxiv.org/abs/0802.1829
dc.identifierIn "Handbook of Satisfiability", published by IOS press (2009), Volume 185 of the Series "Frontiers in Artificial Intelligence and Applications"
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215023
dc.subjectComputational Complexity
dc.titleA review of the Statistical Mechanics approach to Random Optimization Problems
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