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Relating the Time Complexity of Optimization Problems in Light of the Exponential-Time Hypothesis

机译:根据指数时间假说关联优化问题的时间复杂度

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Obtaining lower bounds for NP-hard problems has for a long time been an active area of research. Recent algebraic techniques introduced by Jonsson et al.(SODA 2013) show that the time complexity of the parameterized SAT(·) problem correlates to the lattice of strong partial clones. With this ordering they isolated a relation R such that SAT(R) can be solved at least as fast as any other NP-hard SAT(·) problem. In this paper we extend this method and show that such languages also exist for the max ones problem (Max-Ones(Γ)) and the Boolean valued constraint satisfaction problem over finite-valued constraint languages (VCSP(Δ)). With the help of these languages we relate Max-Ones and VCSP to the exponential time hypothesis in several different ways.
机译:长期以来,获得NP难题的下界一直是研究的活跃领域。 Jonsson等人(SODA 2013)介绍的最新代数技术表明,参数化SAT(·)问题的时间复杂度与强部分克隆的晶格相关。通过这种排序,他们隔离了关系R,以便可以至少与任何其他NP-hard SAT(·)问题一样快地解决SAT(R)。在本文中,我们对这种方法进行了扩展,并表明在有限值约束语言(VCSP(Δ))上,最大语言问题(Max-Ones(Γ))和布尔值约束满足问题也存在这种语言。在这些语言的帮助下,我们以几种不同的方式将Max-Ones和VCSP与指数时间假设相关联。

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