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A general model and thresholds for random constraint satisfaction problems

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成果类型:
期刊论文
作者:
Fan, Yun;Shen, Jing*;Xu, Ke
通讯作者:
Shen, Jing
作者机构:
[Fan, Yun] Cent China Normal Univ, Dept Math, Wuhan 430079, Peoples R China.
[Shen, Jing] Naval Univ Engn, Sch Sci, Wuhan 430033, Peoples R China.
[Xu, Ke] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China.
通讯机构:
[Shen, Jing] N
Naval Univ Engn, Sch Sci, Wuhan 430033, Peoples R China.
语种:
英文
关键词:
Constraint satisfaction problem;Phase transition
期刊:
Artificial Intelligence
ISSN:
0004-3702
年:
2012
卷:
193
页码:
1-17
基金类别:
Thanks are given to NSFC for the support through Grant Nos. 11171370 and 60973033, and the National 863 Program (Grant No. 2012AA011005). It is also the authors’ great pleasure to thank the anonymous referees for their many helpful comments.
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
In this paper, we study the relation among the parameters in their most general setting that define a large class of random CSP models d-k-CSP where d is the domain size and k is the length of the constraint scopes. The model d-k-CSP unifies several related models such as the model RB and the model k-CSP. We prove that the model d-k-CSP exhibits exact phase transitions if klnd increases no slower than the logarithm of the number of variables. A series of experimental studies with interesting observations are carried out to illustrate the solubility phase transition and the...

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