Source coding by efficient selection of ground states clusters
无序系统与神经网络
2009-11-10 v1 统计力学
摘要
In this letter, we show how the Survey Propagation algorithm can be generalized to include external forcing messages, and used to address selectively an exponential number of glassy ground states. These capabilities can be used to explore efficiently the space of solutions of random NP-complete constraint satisfaction problems, providing a direct experimental evidence of replica symmetry breaking in large-size instances. Finally, a new lossy data compression protocol is introduced, exploiting as a computational resource the clustered nature of the space of addressable states.
引用
@article{arxiv.cond-mat/0412652,
title = {Source coding by efficient selection of ground states clusters},
author = {Demian Battaglia and Alfredo Braunstein and Joël Chavas and Riccardo Zecchina},
journal= {arXiv preprint arXiv:cond-mat/0412652},
year = {2009}
}
备注
4 pages, 4 figures