Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-07-19
Phys. Rev. Lett. 95, 200202 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 figures. Replaced with published version
Scientific paper
10.1103/PhysRevLett.95.200202
We present a theoretical framework for characterizing the geometrical properties of the space of solutions in constraint satisfaction problems, together with practical algorithms for studying this structure on particular instances. We apply our method to the coloring problem, for which we obtain the total number of solutions and analyze in detail the distribution of distances between solutions.
Mezard Marc
Palassini Matteo
Rivoire Olivier
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