Exact Phase Transitions and Approximate Algorithm of #CSP

Authors

  • Ping Huang Northeast Normal University
  • Minghao Yin Northeast Normal University
  • Ke Xu Beijing University of Aeronautics and Astronautics

DOI:

https://doi.org/10.1609/aaai.v25i1.8050

Abstract

The study of phase transition phenomenon of NP complete problems plays an important role in understanding the nature of hard problems. In this paper, we follow this line of research by considering the problem of counting solutions of Constraint Satisfaction Problems (#CSP). We consider the random model, i.e. RB model. We prove that phase transition of #CSP does exist as the number of variables approaches infinity and the critical values where phase transitions occur are precisely located. Preliminary experimental results also show that the critical point coincides with the theoretical derivation. Moreover, we propose an approximate algorithm to estimate the expectation value of the solutions number of a given CSP instance of RB model.

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Published

2011-08-04

How to Cite

Huang, P., Yin, M., & Xu, K. (2011). Exact Phase Transitions and Approximate Algorithm of #CSP. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1790-1791. https://doi.org/10.1609/aaai.v25i1.8050