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On smoothed k-CNF formulas and the Walksat algorithm

机译:关于平滑的k-CNF公式和Walksat算法

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摘要

In this paper we study the model of ε-smoothed k-CNF formulas. Starting from an arbitrary instance F with n variables and m = dn clauses, apply the ε-smoothing operation of flipping the polarity of every literal in every clause independently at random with probability ε. Keeping ε and k fixed, and letting the density d = m grow, it is rather easy to see that for d ≥ ε-k ln 2, F becomes whp unsatisfiable after smoothing.
机译:在本文中,我们研究了ε平滑的k-CNF公式的模型。从具有n个变量和m = dn子句的任意实例F开始,应用ε平滑操作,以概率ε独立地随机翻转每个子句中每个文字的极性。保持ε和k固定,并使密度d = m / n增长,很容易看出,对于d≥ε-kln 2,在平滑后F变得不满足要求。

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