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A note on predecessor searching in the pointer machine model

机译:关于指针机器模型中的前驱搜索的说明

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Predecessor searching is a fundamental data structuring problem and at the core of countless algorithms: given a totally ordered universe U with n elements, maintain a subset S is contained in U such that for each element x ∈ U its predecessor in S can be found efficiently. During the last thirty years the problem has been studied extensively and optimal algorithms in many classical models of computation are known. In 1988, Mehlhorn et al. [K. Mehlhorn, S. Naeher. H. Alt. A lower hound on the complexity of the union-split-find problem, SIAM J. Cornput. 17 (6) (1988) 1093-1102] showed an amortized lower bound of Ω(log log n) in the pointer machine model. We give a different proof for this bound which sheds new light on the question of how much power the adversary actually needs.
机译:前驱搜索是一个基本的数据结构问题,它是无数算法的核心:给定具有n个元素的全序Universe U,在U中包含一个子集S,这样对于每个元素x∈U都可以高效地找到S的前驱。在过去的三十年中,对该问题进行了广泛的研究,并且许多经典计算模型中的最佳算法也是众所周知的。 1988年,Mehlhorn等人。 [K. Mehlhorn,S。Naeher。停止。 SIAM J. Cornput对联合拆分发现问题的复杂性要求较低。 17(6)(1988)1093-1102]显示了指针机器模型中的Ω(log log n)的摊销下限。我们对此界限给出了不同的证明,这为对手实际需要多少力量提供了新的思路。

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