Exact Phase Transitions and Approximate Algorithm of #CSP

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.

Cite

Text

Huang et al. "Exact Phase Transitions and Approximate Algorithm of #CSP." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.8050

Markdown

[Huang et al. "Exact Phase Transitions and Approximate Algorithm of #CSP." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/huang2011aaai-exact/) doi:10.1609/AAAI.V25I1.8050

BibTeX

@inproceedings{huang2011aaai-exact,
  title     = {{Exact Phase Transitions and Approximate Algorithm of #CSP}},
  author    = {Huang, Ping and Yin, Minghao and Xu, Ke},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1790-1791},
  doi       = {10.1609/AAAI.V25I1.8050},
  url       = {https://mlanthology.org/aaai/2011/huang2011aaai-exact/}
}