Abstract
Non-rigorous statistical mechanics ideas have inspired a message passing algorithm called Belief propagation guided decimation for finding satisfying assignments of random k-SAT instances. This algorithm can be viewed as an attempt at implementing a certain thought experiment that we call the decimation process. In this paper we identify a variety of phase transitions in the decimation process and link these phase transitions to the performance of the algorithm.
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Achlioptas, D., Coja-Oghlan, A.: Algorithmic barriers from phase transitions. In: Proc. 49th FOCS, pp. 793–802 (2008)
Achlioptas, D., Coja-Oghlan, A., Ricci-Tersenghi, F.: On the solution space geometry of random formulas. Random Structures and Algorithms 38, 251–268 (2011)
Achlioptas, D., Moore, C.: Random k-SAT: two moments suffice to cross a sharp threshold. SIAM Journal on Computing 36, 740–762 (2006)
Achlioptas, D., Peres, Y.: The threshold for random k-SAT is 2k ln 2 − O(k). Journal of the AMS 17, 947–973 (2004)
Achlioptas, D., Ricci-Tersenghi, F.: Random formulas have frozen variables. SIAM J. Comput. 39, 260–280 (2009)
Braunstein, A., Mézard, M., Zecchina, R.: Survey propagation: an algorithm for satisfiability. Random Structures and Algorithms 27, 201–226 (2005)
Coja-Oghlan, A.: On belief propagation guided decimation for random k-SAT. In: Proc. 22nd SODA, pp. 957–966 (2011)
Daudé, H., Mézard, M., Mora, T., Zecchina, R.: Pairs of SAT-assignments in random Boolean formulae. Theoretical Computer Science 393, 260–279 (2008)
Frieze, A., Suen, S.: Analysis of two simple heuristics on a random instance of k-SAT. Journal of Algorithms 20, 312–355 (1996)
Kroc, L., Sabharwal, A., Selman, B.: Message-passing and local heuristics as decimation strategies for satisfiability. In: Proc. 24th SAC, pp. 1408–1414 (2009)
Krzakala, F., Montanari, A., Ricci-Tersenghi, F., Semerjian, G., Zdeborova, L.: Gibbs states and the set of solutions of random constraint satisfaction problems. Proc. National Academy of Sciences 104, 10318–10323 (2007)
Mertens, S., Mézard, M., Zecchina, R.: Threshold values of random K-SAT from the cavity method. Random Struct. Alg. 28, 340–373 (2006)
Mézard, M., Parisi, G., Zecchina, R.: Analytic and algorithmic solution of random satisfiability problems. Science 297, 812–815 (2002)
Mitchell, D., Selman, B., Levesque, H.: Hard and easy distribution of SAT problems. In: Proc. 10th AAAI, pp. 459–465 (1992)
Montanari, A., Ricci-Tersenghi, F., Semerjian, G.: Solving constraint satisfaction problems through Belief Propagation-guided decimation. In: Proc. 45th Allerton (2007)
Ricci-Tersenghi, F., Semerjian, G.: On the cavity method for decimated random constraint satisfaction problems and the analysis of belief propagation guided decimation algorithms. J. Stat. Mech., 09001 (2009)
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Coja-Oghlan, A., Pachon-Pinzon, A.Y. (2011). The Decimation Process in Random k-SAT. In: Aceto, L., Henzinger, M., Sgall, J. (eds) Automata, Languages and Programming. ICALP 2011. Lecture Notes in Computer Science, vol 6755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22006-7_26
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DOI: https://doi.org/10.1007/978-3-642-22006-7_26
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