Popular Matching in Roommates Setting Is NP-hard

Sushmita Gupta, P. Misra, Saket Saurabh, M. Zehavi
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引用次数: 37

Abstract

An input to the POPULAR MATCHING problem, in the roommates setting (as opposed to the marriage setting), consists of a graph G (not necessarily bipartite) where each vertex ranks its neighbors in strict order, known as its preference. In the POPULAR MATCHING problem the objective is to test whether there exists a matching M* such that there is no matching M where more vertices prefer their matched status in M (in terms of their preferences) over their matched status in M*. In this article, we settle the computational complexity of the POPULAR MATCHING problem in the roommates setting by showing that the problem is NP-complete. Thus, we resolve an open question that has been repeatedly and explicitly asked over the last decade.
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在室友设定中流行匹配是np困难的
在室友设置(与婚姻设置相反)中,POPULAR MATCHING问题的输入由图G(不一定是二部的)组成,其中每个顶点按严格顺序排列其邻居,称为其偏好。在POPULAR MATCHING问题中,目标是测试是否存在匹配M*,使得没有匹配M,其中更多的顶点更喜欢他们在M中的匹配状态(根据他们的偏好)而不是他们在M*中的匹配状态。在本文中,我们通过证明问题是np完全的,解决了室友设置下POPULAR MATCHING问题的计算复杂性。因此,我们解决了一个在过去十年中被反复明确提出的开放性问题。
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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