{"title":"2对2博弈的np -硬度","authors":"","doi":"10.1145/3568031.3568035","DOIUrl":null,"url":null,"abstract":"In fact, stronger conditions hold: (a) the YES cases: there is a set X of 1 − δ fraction of the vertices such that all constraints inside X are satisfied, and (b) the NO case: any set containing δ fraction of the vertices contains Ω(δ2) fraction of the edges of the graph. These conditions are necessary toward certain applications, to the vertex cover and the independent set problems. For further implications, see Chapter 1. The discussion herein focuses on the presentation of techniques and ideas that go into the reduction. Following the proof of the PCP theorem, a general framework for proving hard ness of approximation results has been developed [Arora and Safra 1998; Arora et al. 1998; Bellare et al. 1998; Raz 1998, Håstad 2001]. Using this framework, a PCP con struction for a problem P is a composition of two separate modules: “Inner PCP” and “Outer PCP.”","PeriodicalId":377190,"journal":{"name":"Circuits, Packets, and Protocols","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NP-hardness of 2-to-2 Games\",\"authors\":\"\",\"doi\":\"10.1145/3568031.3568035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In fact, stronger conditions hold: (a) the YES cases: there is a set X of 1 − δ fraction of the vertices such that all constraints inside X are satisfied, and (b) the NO case: any set containing δ fraction of the vertices contains Ω(δ2) fraction of the edges of the graph. These conditions are necessary toward certain applications, to the vertex cover and the independent set problems. For further implications, see Chapter 1. The discussion herein focuses on the presentation of techniques and ideas that go into the reduction. Following the proof of the PCP theorem, a general framework for proving hard ness of approximation results has been developed [Arora and Safra 1998; Arora et al. 1998; Bellare et al. 1998; Raz 1998, Håstad 2001]. Using this framework, a PCP con struction for a problem P is a composition of two separate modules: “Inner PCP” and “Outer PCP.”\",\"PeriodicalId\":377190,\"journal\":{\"name\":\"Circuits, Packets, and Protocols\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Circuits, Packets, and Protocols\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3568031.3568035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circuits, Packets, and Protocols","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568031.3568035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
事实上,更强的条件成立:(a) YES情况:有一个集合X包含1−δ分数的顶点,使得X内的所有约束都被满足;(b) NO情况:任何包含顶点的δ分数的集合包含Ω(δ2)分数的图边。这些条件对于顶点覆盖和独立集问题的某些应用是必要的。有关进一步的含义,请参见第1章。这里的讨论主要集中在还原的技术和思想的呈现上。继PCP定理的证明之后,一个证明近似结果的难度的一般框架被开发出来[Arora and Safra 1998;Arora et al. 1998;Bellare et al. 1998;Raz 1998, havastad 2001]。使用这个框架,问题P的PCP构造是两个独立模块的组合:“内PCP”和“外PCP”。
In fact, stronger conditions hold: (a) the YES cases: there is a set X of 1 − δ fraction of the vertices such that all constraints inside X are satisfied, and (b) the NO case: any set containing δ fraction of the vertices contains Ω(δ2) fraction of the edges of the graph. These conditions are necessary toward certain applications, to the vertex cover and the independent set problems. For further implications, see Chapter 1. The discussion herein focuses on the presentation of techniques and ideas that go into the reduction. Following the proof of the PCP theorem, a general framework for proving hard ness of approximation results has been developed [Arora and Safra 1998; Arora et al. 1998; Bellare et al. 1998; Raz 1998, Håstad 2001]. Using this framework, a PCP con struction for a problem P is a composition of two separate modules: “Inner PCP” and “Outer PCP.”