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Exponential bounds for the random walk algorithm on random planted 3-SAT

         

摘要

Random walk algorithm (RWalkSAT) is one of the simplest and oldest heuristics for satisfiability problems. In contrast to many experimental results, relatively few rigorous analyses of RWalkSAT are available. Up to now, runtime results of small density random 3-SAT have been achieved showing RWalkSAT terminates successfully in linear time up to clause density 1.63. This paper presents a rigorous runtime analysis of RWalkSAT for 3-CNF formulas generated under the planted assignment distribution. It proves that with overwhelming probability, when starting from any initial assignment |x|< 0.9999n, the expected number of steps until RWalkSAT on random planted formulas with a large constant density finds the planted assignment (1, . . . ,1) is at least Ω(1.1514n) and at most O(n21.1517n).

著录项

  • 来源
    《中国科学 》 |2013年第9期|127-139|共13页
  • 作者

    ZHOU YuRen;

  • 作者单位

    School of Computer Science and Engineering;

    South China University of Technology;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 算法理论 ;
  • 关键词

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