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Learning a Bounded-Degree Tree Using Separator Queries

机译:使用分隔符查询学习有限度树

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Suppose there is an undirected tree T containing n nodes and having bounded degree d. We know the nodes in T but not the edges. The problem is to output the tree T by asking queries of the form: "Does the node y lie on the path between node x and node z?". In other words, we can ask if removing node y disconnects node x from node z. Such a query is called a separator query. Assume that each query can be answered in constant time by an oracle. The objective is to minimize the time taken to output the tree in terms of n. Our main result is an O(dn~(1.5) log n) time algorithm for the above problem. To the best of our knowledge, no o(n~2) algorithm is known even for constant-degree trees. We also give an O(d~2n log~2 n) randomized algorithm and prove an Ω(dn) lower bound for the same problem. Time complexity equals query complexity for all our results.
机译:假设有一个包含n个节点的无向​​树t并且具有界限度d。我们知道T的节点,但不是边缘。问题是通过询问表单的查询来输出树t:“节点y会位于节点x和节点z之间的路径上吗?”。换句话说,我们可以询问删除节点y是否从节点z断开节点x。这样的查询称为分隔符查询。假设可以通过Oracle在恒定时间内回答每个查询。目标是最小化在n的术语中输出树的时间。我们的主要结果是O(DN〜(1.5)log n)上述问题的时间算法。据我们所知,即使对于恒定程度的树木,也没有o(n〜2)算法。我们还提供O(D〜2n log〜2 n)随机算法,并证明同一问题的ω(dn)下限。时间复杂性等于所有结果的查询复杂性。

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