随机Θ(log n)-CNFs很难切割平面

Noah Fleming, D. Pankratov, T. Pitassi, Robert Robere
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引用次数: 18

摘要

随机k-SAT模型是k-SAT实例上最重要和研究最充分的分布。它与统计物理密切相关,是可满足性算法的基准。我们表明,当k = Θ(log n)时,任何随机k- sat的切割平面反驳都需要在有趣区域内的指数大小,其中子句的数量保证公式在高概率下是不可满足的。
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Random Θ(log n)-CNFs Are Hard for Cutting Planes
The random k-SAT model is the most important and well-studied distribution over k-SAT instances. It is closely connected to statistical physics and is a benchmark for satisfiability algorithms. We show that when k = Θ(log n), any Cutting Planes refutation for random k-SAT requires exponential size in the interesting regime where the number of clauses guarantees that the formula is unsatisfiable with high probability.
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