Literature DB >> 12484862

Coloring random graphs.

R Mulet1, A Pagnani, M Weigt, R Zecchina.   

Abstract

We study the graph coloring problem over random graphs of finite average connectivity c. Given a number q of available colors, we find that graphs with low connectivity admit almost always a proper coloring, whereas graphs with high connectivity are uncolorable. Depending on q, we find the precise value of the critical average connectivity c(q). Moreover, we show that below c(q) there exists a clustering phase c in [c(d),c(q)] in which ground states spontaneously divide into an exponential number of clusters and where the proliferation of metastable states is responsible for the onset of complexity in local search algorithms.

Year:  2002        PMID: 12484862     DOI: 10.1103/PhysRevLett.89.268701

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


  7 in total

1.  Modularity from fluctuations in random graphs and complex networks.

Authors:  Roger Guimerà; Marta Sales-Pardo; Luís A Nunes Amaral
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-08-19

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.  Spin glasses and fragile glasses: statics, dynamics, and complexity.

Authors:  Giorgio Parisi
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-11       Impact factor: 11.205

4.  Estimating the size of the solution space of metabolic networks.

Authors:  Alfredo Braunstein; Roberto Mulet; Andrea Pagnani
Journal:  BMC Bioinformatics       Date:  2008-05-19       Impact factor: 3.169

5.  Identifying all moiety conservation laws in genome-scale metabolic networks.

Authors:  Andrea De Martino; Daniele De Martino; Roberto Mulet; Andrea Pagnani
Journal:  PLoS One       Date:  2014-07-02       Impact factor: 3.240

6.  Solving hard computational problems efficiently: asymptotic parametric complexity 3-coloring algorithm.

Authors:  José Antonio Martín H
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

7.  The backtracking survey propagation algorithm for solving random K-SAT problems.

Authors:  Raffaele Marino; Giorgio Parisi; Federico Ricci-Tersenghi
Journal:  Nat Commun       Date:  2016-10-03       Impact factor: 14.919

  7 in total

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