No-Rainbow Problem and the Surjective Constraint Satisfaction Problem

Dmitriy Zhuk
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引用次数: 3

Abstract

The Surjective Constraint Satisfaction Problem (SCSP) is the problem of deciding whether there exists a surjective assignment to a set of variables subject to some specified constraints, where a surjective assignment is an assignment containing all elements of the domain. In this paper we show that the most famous SCSP, called No-Rainbow Problem, is NP-Hard. Additionally, we disprove the conjecture saying that the SCSP over a constraint language Γ and the CSP over the same language with constants have the same computational complexity up to poly-time reductions. Our counter-example also shows that the complexity of the SCSP cannot be described in terms of polymorphisms of the constraint language.
无彩虹问题与满射约束满足问题
满射约束满足问题(SCSP)是确定给定约束条件下的一组变量是否存在满射赋值的问题,其中满射赋值是指包含域的所有元素的赋值。在本文中,我们证明了最著名的SCSP,称为无彩虹问题,是np困难的。此外,我们反驳了关于约束语言Γ上的SCSP和具有常数的同一语言上的CSP具有相同的计算复杂度直至多时间缩减的猜想。我们的反例还表明,SCSP的复杂性不能用约束语言的多态性来描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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