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A Quasi-Polynomial Time Partition Oracle for Graphs with an Excluded Minor

机译:拟多项式时间分区Oracle,用于排除小图的图形

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Motivated by the problem of testing planarity and related properties, we study the problem of designing efficient partition oracles. A partition oracle is a procedure that, given access to the incidence lists representation of a bounded-degree graph G = (V, E) and a parameter e, when queried on a vertex v ∈ V, returns the part (subset of vertices) which v belongs to in a partition of all graph vertices. The partition should be such that all parts are small, each part is connected, and if the graph has certain properties, the total number of edges between parts is at most ε|V|. In this work we give a partition oracle for graphs with excluded minors whose query complexity is quasi-polynomial in 1/ε, thus improving on the result of Hassidim et al. (Proceedings of FOCS 2009) who gave a partition oracle with query complexity exponential in 1/ε. This improvement implies corresponding improvements in the complexity of testing planarity and other properties that are characterized by excluded minors as well as sublinear-time approximation algorithms that work under the promise that the graph has an excluded minor.
机译:出于测试平面性和相关属性的问题,我们研究了设计有效分区oracle的问题。分区oracle是一个过程,可以访问入射列表,表示有界图G =(V,E)和参数e,当在顶点v∈V上查询时,返回该部分(顶点的子集) v属于所有图顶点的分区。分隔应该是所有部分都小,每个部分都相连,并且如果图形具有某些特性,则部分之间的边总数最多为ε| V |。在这项工作中,我们为排除了次要项的图给出了一个分区预兆,其查询复杂度为1 /ε的拟多项式,从而改进了Hassidim等人的结果。 (FOCS 2009论文集),他给出了分区复杂度为1 /ε的指数复杂度的oracle。这种改进意味着测试平面度和其他属性的复杂性得到了相应的改善,这些特征的特征在于排除了次要元素,以及在图具有排除次要元素的承诺下工作的亚线性时间近似算法。

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