Approximate Hypergraph Partitioning and Applications

E. Fischer, A. Matsliah, A. Shapira
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引用次数: 39

Abstract

We show that any partition-problem of hypergraphs has an O(n) time approximate partitioning algorithm and an efficient property tester. This extends the results of Goldreich, Goldwasser and Ron who obtained similar algorithms for the special case of graph partition problems in their seminal paper (1998). The partitioning algorithm is used to obtain the following results: ldr We derive a surprisingly simple O(n) time algorithmic version of Szemeredi's regularity lemma. Unlike all the previous approaches for this problem which only guaranteed to find partitions of tower-size, our algorithm will find a small regular partition in the case that one exists; ldr For any r ges 3, we give an O(n) time randomized algorithm for constructing regular partitions of r-uniform hypergraphs, thus improving the previous O(n2r-1) time (deterministic) algorithms. The property testing algorithm is used to unify several previous results, and to obtain the partition densities for the above problems (rather than the partitions themselves) using only poly(1/isin) queries and constant running time.
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近似超图划分及其应用
我们证明了超图的任何划分问题都有一个O(n)时间近似划分算法和一个有效的性质检验器。这扩展了Goldreich, Goldwasser和Ron的结果,他们在他们的开创性论文(1998)中获得了图划分问题的特殊情况的类似算法。我们得到了一个非常简单的O(n)时间算法版本的Szemeredi正则性引理。不同于之前所有的方法只能保证找到塔大小的分区,我们的算法将在一个存在的情况下找到一个小的规则分区;对于任意rg_3,我们给出了一个O(n)时间随机化算法来构造r-均匀超图的规则分区,从而改进了之前的O(n2r-1)时间(确定性)算法。属性测试算法用于统一之前的几个结果,并且仅使用poly(1/isin)查询和恒定的运行时间来获得上述问题的分区密度(而不是分区本身)。
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