计算机科学 ›› 2012, Vol. 39 ›› Issue (12): 233-236.

• 人工智能 • 上一篇    下一篇

大图中子图的可测性质

韦立 许道云 王正才   

  1. (贵州大学计算机科学与信息学院 贵阳 550025)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Testable Properties for Subgraphs in Large Graphs

  • Online:2018-11-16 Published:2018-11-16

摘要: 对于给定的距离参数。,性质测试算法A需以高概率正确地区分给定的对象具备预定性质II与二远离性质 II。若存在II的测试算法A满足其询问复杂性独立于规模参数n,则称II是可测的。设H是一个图,性质仔了)℃。为 不含井子图的图所构成的集合。在有界度模型中,Goldreich与Ron证明了对任意连通图H,性质仔力℃。是可测 的}s}。在邻接矩阵模型中,证明了对任意图H,不管其连通与否,性质件厂re。是可测的。

关键词: 性质测试,询问复杂性,正则引理,正则归约,可测试性

Abstract: A property testing algorithm is required to highly probably distinguish the case that the input has predeter- mined property II and the case that the input is afar from having the property,for any given parameter s. If there is a property testing algorithm for II such that its query complexity is independent of the input size parameter n, II is called testable. Let H be a graph, H-free is the property of containing no copy of H. For any connected graph H, Uoldreich and Ron show that H-free is testable in bounded degree model. In adjacency matrix model, it proves that F}free is tester ble,for any given H.

Key words: Property testing, Query complexity, Regularity lemma, Regularity r}duction,hestability

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