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Sublinear-Time Algorithms for Tournament Graphs

机译:竞赛图的亚线性时间算法

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We show that a random walk on a tournament on n vertices finds either a sink or a 3-cycle in expected time O (n~(1/2) · log n · log~* n~(1/2)), that is, sublinear both in the size of the description of the graph as well as in the number of vertices. This result is motivated by the search of a generic algorithm for solving a large class of search problems called Local Search, LS. LS is defined by us as a generalisation of the well-known class PLS.
机译:我们显示,在n个顶点的锦标赛上随机行走会在预期时间O(n〜(1/2)·log n·log〜* n〜(1/2))中找到一个下沉或3个周期,是,在图形说明的大小以及顶点数上都是次线性的。该结果是由一种通用算法的搜索所激发的,该算法可以解决一类称为Local Search,LS的搜索问题。 LS由我们定义为众所周知的PLS类的概括。

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