Landscape of solutions in constraint satisfaction problems
arXiv:cond-mat/0507451 · doi:10.1103/PhysRevLett.95.200202
Abstract
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.
4 pages, 4 figures. Replaced with published version
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- Geometrical organization of solutions to random linear Boolean equations
- Random subcubes as a toy model for constraint satisfaction problems
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- From one solution of a 3-satisfiability formula to a solution cluster: Frozen variables and entropy
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- mean-field population dynamics approach for the random 3-satisfiability problem
- Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems
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- Glassy Behavior and Jamming of a Random Walk Process for Sequentially Satisfying a Constraint Satisfaction Formula
- Toward a Theory of Phase Transitions in Quantum Control Landscapes
- Circular Coloring of Random Graphs: Statistical Physics Investigation
- Clustering of solutions in hard satisfiability problems
- Theory of simple glasses
- Counting and Hardness-of-Finding Fixed Points in Cellular Automata on Random Graphs
- The network source location problem: ground state energy, entropy and effects of freezing
- Barriers and local minima in energy landscapes of stochastic local search
- Order-to-chaos transition in the hardness of random Boolean satisfiability problems
- Far-from-equilibrium complex landscapes