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Exact Probing of Glassy States by Survey Propagation
Author(s) -
Demian Battaglia,
Alfredo Braunstein,
Joël Chavas,
Riccardo Zecchina
Publication year - 2005
Publication title -
progress of theoretical physics supplement
Language(s) - English
Resource type - Journals
ISSN - 0375-9687
DOI - 10.1143/ptps.157.330
Subject(s) - lossy compression , forcing (mathematics) , coding (social sciences) , statistical physics , set (abstract data type) , computer science , algorithm , theoretical computer science , mathematics , statistics , physics , mathematical analysis , artificial intelligence , programming language
After briefly reviewing the theoretical set up underlying the Survey Propagation (SP) equations, we show how SP can be generalized to include external forcing - external surveys - which allow to address selectively glassy states (which may be exponentially numerous). Taking as working model the random K-SAT problem, we show that the geometrical nature of its different glassy phases can be probed efficiently. A preliminary application of this new algorithm to source coding (lossy data compression) is discussed.

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