Literature DB >> 16090207

Clustering of solutions in the random satisfiability problem.

M Mézard1, T Mora, R Zecchina.   

Abstract

Using elementary rigorous methods we prove the existence of a clustered phase in the random K-SAT problem, for K > or = 8. In this phase the solutions are grouped into clusters which are far away from each other. The results are in agreement with previous predictions of the cavity method and give a rigorous confirmation to one of its main building blocks. It can be generalized to other systems of both physical and computational interest.

Year:  2005        PMID: 16090207     DOI: 10.1103/PhysRevLett.94.197205

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  3 in total

1.  Circumspect descent prevails in solving random constraint satisfaction problems.

Authors:  Mikko Alava; John Ardelius; Erik Aurell; Petteri Kaski; Supriya Krishnamurthy; Pekka Orponen; Sakari Seitz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-01       Impact factor: 11.205

2.  Gibbs states and the set of solutions of random constraint satisfaction problems.

Authors:  Florent Krzakała; Andrea Montanari; Federico Ricci-Tersenghi; Guilhem Semerjian; Lenka Zdeborová
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-13       Impact factor: 11.205

3.  The overlap gap property: A topological barrier to optimizing over random structures.

Authors:  David Gamarnik
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-12       Impact factor: 11.205

  3 in total

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