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Random Formulas are Irrelevant, Right?

机译:随机公式无关紧要,对吧?

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摘要

Let F_k(n, m) denote a Boolean formula in Conjunctive Normal Form (CNF) with m clauses over n variables, whose clauses are chosen uniformly, independently and without replacement among all 2~k (n k) non-trivial clauses of length k, i.e., clauses with k distinct, non-complementary literals. Say that a sequence of random events E_n occurs with high probability (w.h.p.) if lim_(n→∞) Pr[E_n] = 1. Franco and Paull pioneered the analysis of random k-CNF formulas in, where they noted that F_k(n, m) is w.h.p. unsatisfiable if m = rn and r≥2~5 ln2. Chao and Franco complemented this by proving that if r<2~k/k, then Unit Clause Propagation (UCP) alone finds a satisfying truth assignment w.h.p., thus establishing m = Θ(n) as the most interesting range for random k-SAT.
机译:令F_k(n,m)表示一个合取范式(CNF)的布尔公式,其中n个变量上有m个从句,这些从句在所有长度为k的所有2〜k(nk)个非平凡从句中均等地,独立地选择而不替换,即具有k个不同的非互补文字的子句。假设如果lim_(n→∞)Pr [E_n] = 1,则以高概率(whp)发生一系列随机事件E_n。Franco和Paull率先在其中分析了随机k-CNF公式,他们指出F_k(n ,m)是如果m = rn和r≥2〜5 ln2,则不满足。 Chao和Franco通过证明如果r <2〜k / k,则单单子句传播(UCP)就能找到令人满意的真值分配whp,从而将m =Θ(n)作为随机k-SAT的最有趣范围,对此进行了补充。 。

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