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NP-Completeness of (k-SAT,r-UNk-SAT) and (LSAT≥k,,r-UNLSAT≥k)

机译:(k-SAT,r-UNk-SAT)和(LSAT≥k,,r-UNLSAT≥k)的NP完全性

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摘要

k-CNF is the class of CNF formulas in which the length of each clause of every formula is k. The decision problem asks for an assignment of truth values to the variables that satisfies all the clauses of a given CNF formula. k-SAT problem is k-CNF decision problem. Cook [9] has shown that k-SAT is NP-complete for k ≥ 3. LCNF is the class of linear formulas and LSAT is its decision problem. In [3] we present a general method to construct linear minimal unsatisfiable (MU) formulas. NP = PCP(log, 1) is called PCP theorem, and it is equivalent to that there exists some r > 1 such that (3SAT, r-UN3SAT)(or denoted by (1 - 1/r) - GAP3SAT) is NP-complete [1][2]. In this paper,we show that for k ≥ 3, (kSAT, r-UNkSAT) is NP-completre and (LSAT, r-UNLSAT) is NP-completre for some r > 1. Based on the application of linear MU formulas[3], we construct a reduction from (4SAT, r-UN4SAT) to (LSAT_(≥4),r'-UNLSAT_(≥4)), and proved that (LSAT_(≥4),r - UNLSAT_(≥4)) is NP-complete for some r > 1, so the approximation problem s-Approx-LSAT_(≥4) is NP-hard for some s > 1.
机译:k-CNF是CNF公式的一类,其中每个公式的每个子句的长度为k。决策问题要求将真值分配给满足给定CNF公式的所有子句的变量。 k-SAT问题是k-CNF决策问题。 Cook [9]表明,对于k≥3,k-SAT是NP完全的。LCNF是线性公式的类,而LSAT是其决策问题。在[3]中,我们提出了一种构造线性最小不满足(MU)公式的通用方法。 NP = PCP(log,1)称为PCP定理,它等效于存在某个r> 1,使得(3SAT,r-UN3SAT)(或由(1-1 / r)-GAP3SAT表示)为NP -完成[1] [2]。在本文中,我们证明对于k≥3,在r> 1的情况下,(kSAT,r-UNkSAT)是NP完全的,(LSAT,r-UNLSAT)是NP完全的。基于线性MU公式的应用[ 3],我们将(4SAT,r-UN4SAT)简化为(LSAT_(≥4),r'-UNLSAT_(≥4)),并证明(LSAT_(≥4),r-UNLSAT_(≥4) )对于某些r> 1是NP完全的,因此对于某些s> 1,近似问题s-Approx-LSAT_(≥4)是NP-hard的。

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