A short story of the CSP dichotomy conjecture

A. Bulatov
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引用次数: 2

Abstract

It has been observed long time ago that ‘natural’ computational problems tend to be complete in ‘natural’ complexity classes such as NL, P, NP, or PSPACE. Although Ladner in 1975 proved that if $\mathrm{P}\neq \mathrm{NP}$ then there are infinitely many complexity classes between them, all the examples of such intermediate problems are based on diagonalization constructions and are very artificial. Since the seminal work by Feder and Vardi [8] this phenomenon is known as complexity dichotomy (for P and NP), see also Valiant's work [14] in the context of counting problems. Concerted efforts have been made to make this observation more precise, and since the concept of a ‘natural’ problem is somewhat ambiguous, a possible research direction is to pursue dichotomy results for wide classes of problems. The Constraint Satisfaction problem (CSP) is one of such classes.
一个关于CSP二分法猜想的小故事
人们很久以前就观察到,“自然”计算问题在“自然”复杂性类(如NL、P、NP或PSPACE)中往往是完整的。虽然Ladner在1975年证明了如果$\mathrm{P}\neq \mathrm{NP}$,那么它们之间存在无限多个复杂性类,但所有这些中间问题的例子都是基于对角化结构,并且非常人工。由于Feder和Vardi[8]的开创性工作,这种现象被称为复杂性二分法(对于P和NP),参见Valiant在计数问题背景下的工作[14]。由于“自然”问题的概念有些模糊,一个可能的研究方向是为更广泛的问题类别追求二分法结果。约束满足问题(CSP)就是这样一类问题。
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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