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Approximation of coNP Sets by NP-complete Sets and Its Applications

机译:NP完全集对coNP集的逼近及其应用

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It is said that a set L1 in a class C1 is an approximation of a set L2 in a class C2 if L1 is a subset of L2. An approximation L1 is said to be optimal if there is no approximation L'1 such that L1 is contained in L'1 and L'1-L1 is infinite. When the class C_1=P and C_2=NP, it is known that there is no optimal approximation under a quite general condition unless P=NP. In this paper we discuss the case where C_1=the class of Np=complete sets and C_2=coNP. A similar result as above that shows the difficulty of the optimal approximation is obtained. Approximating coNP sets by NP-complete sets plays an important role in the efficient generation of test instances for combinatorial algorithms.
机译:可以说,如果L1是L2的子集,则类别C1中的集合L1是类别C2中的集合L2的近似值。如果没有近似值L'1使得L1包含在L'1中并且L'1-L1是无限的,则近似值L1被认为是最佳的。当类别C_1 = P和C_2 = NP时,众所周知,除非P = NP,否则在相当普遍的条件下没有最佳逼近。在本文中,我们讨论了C_1 = Np的类别=完整集而C_2 = coNP的情况。获得与以上类似的结果,该结果表明了最佳逼近的难度。通过NP完全集近似coNP集在有效生成组合算法测试实例中起着重要作用。

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