Landscape of solutions in constraint satisfaction problems

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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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.

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