首页> 外文会议>10th Annual European Symposium on Algorithms - ESA 2002, Sep 17-21, 2002, Rome, Italy >Finding the Sink Takes Some Time An Almost Quadratic Lower Bound for Finding the Sink of Unique Sink Oriented Cubes
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Finding the Sink Takes Some Time An Almost Quadratic Lower Bound for Finding the Sink of Unique Sink Oriented Cubes

机译:查找水槽需要一段时间才能找到唯一面向水槽的多维数据集的水槽,几乎是二次下界

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We give a worst-case Ω(n~2/(log n)) lower bound on the number of vertex evaluations a deterministic algorithm needs to perform in order to find the (unique) sink of a unique sink oriented n-dimensional cube. We consider the problem in the vertex-oracle model, introduced in [17]. In this model one can access the orientation implicitly, in each vertex evaluation an oracle discloses the orientation of the edges incident to the queried vertex. An important feature of the model is that the access is indeed arbitrary, the algorithm does not have to proceed on a directed path in a simplex-like fashion, but could "jump around". Our result is the first super-linear lower bound on the problem. The strategy we describe works even for acyclic orientations. We also give improved lower bounds for small values of n and fast algorithms in a couple of important special classes of orientations to demonstrate the difficulty of the lower bound problem.
机译:我们给出确定性算法需要执行的顶点评估次数的最坏情况下的Ω(n〜2 /(log n))下界,以便找到面向面向接收器的唯一n维立方体的(唯一)接收器。我们在[17]中介绍的顶点-oracle模型中考虑该问题。在此模型中,可以隐式访问方向,在每个顶点评估中,一个oracle会公开入射到查询顶点的边的方向。该模型的一个重要特征是访问确实是任意的,该算法不必以类似于单纯形的方式在有向路径上进行,而是可以“跳跃”。我们的结果是该问题的第一个超线性下界。我们描述的策略甚至适用于非循环取向。我们还为n的小值和快速算法在几个重要的特殊方向类别中提供了改进的下界,以证明下界问题的难度。

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