Guo Binghui, Wei Wei, Sun Yifan, Zheng Zhiming
LMIB and School of Mathematics and Systems Science, Beihang University, 100191 Beijing, China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Mar;81(3 Pt 1):031122. doi: 10.1103/PhysRevE.81.031122. Epub 2010 Mar 23.
The satisfiability of a class of random Boolean equations named massive algebraic system septated to linear and nonlinear subproblems is studied in this paper. On one hand, the correlation between the magnetization of generators and the clustering of solutions of the linear subproblem is investigated by analyzing the Gaussian elimination process. On the other hand, the characteristics of maximal elements of solutions of the nonlinear subproblem are studied by introducing the partial order among solutions. Based on the algebraic characteristics of these two subproblems, the upper and lower bounds of satisfiability threshold of massive algebraic system are obtained by unit-clause propagation and leaf-removal process, and coincide as the ratio of nonlinear equations q>0.739 in which analytical values of the satisfiability threshold can be derived. Furthermore, a complete algorithm with heuristic decimation is proposed to observe the approximation of the satisfiability threshold, which performs more efficiently than the classical ones.
本文研究了一类名为大规模代数系统的随机布尔方程的可满足性,该系统被划分为线性和非线性子问题。一方面,通过分析高斯消元过程,研究了生成器的磁化与线性子问题解的聚类之间的相关性。另一方面,通过引入解之间的偏序关系,研究了非线性子问题解的极大元的特征。基于这两个子问题的代数特征,通过单元子句传播和叶节点删除过程得到了大规模代数系统可满足性阈值的上下界,并且当非线性方程的比例q>0.739时上下界重合,此时可以导出可满足性阈值的解析值。此外,还提出了一种带有启发式抽取的完整算法来观察可满足性阈值的近似情况,该算法比经典算法执行效率更高。