立方体的独特下沉方向

Tibor Szabó, E. Welzl
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引用次数: 82

摘要

假设我们给出了一个n维超立方体的边缘图,它的边缘定向使得每个面都有一个唯一的sink。这样的方向被称为唯一汇聚方向,我们感兴趣的是找到整个立方体的唯一汇聚,当方向是隐式给定的。可用的基本操作是所谓的顶点计算,我们可以访问立方体的任意顶点,从而获得入射边的方向。当一个变形的几何n维立方体(即具有立方体组合结构的多面体)的边缘根据某些一般线性函数定向时,就会出现唯一的汇聚方向。这些取向很容易被看作是无环的。研究唯一汇方向的主要动机是某些线性互补问题,它允许这种组合抽象(由于Stickney和Watson, 1978),其中可能出现带循环的方向。类似地,一些二次优化问题,如计算有限点集的最小封闭球,可以表述为在唯一的汇聚方向上找到一个汇聚(可能有循环)。对于非循环唯一汇方向,由Bernd Gartner(1998,2001)提出的随机化程序,其期望数量最多为e/sup 2/spl根/n/顶点评估。对于一般情况,存在一个简单的随机(3/2)/sup /程序(在文献中没有明确提及)。我们提出了一个新的算法,一个确定性的O(1.61/sup n/)过程和一个随机的O((43/20)/sup n/2/)=O(1.47/sup n/)过程。这些算法的一个有趣的方面是,它们不沿着通往汇聚点的路径前进(以类似于简单函数的方式),但它们利用了对立方体任何顶点的随机访问(在任意访问的意义上)的潜力。我们认为这一特点是本文的主要贡献。我们认为,独特的汇取向具有丰富的结构,并且在上述边界上有很大的改进空间。
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Unique sink orientations of cubes
Suppose we are given (the edge graph of) an n-dimensional hypercube with its edges oriented so that every face has a unique sink. Such an orientation is called a unique sink orientation, and we are interested in finding the unique sink of the whole cube, when the orientation is given implicitly. The basic operation available is the so-called vertex evaluation, where we can access an arbitrary vertex of the cube, for which we obtain the orientations of the incident edges. Unique sink orientations occur when the edges of a deformed geometric n-dimensional cube (i.e., a polytope with the combinatorial structure of a cube) are oriented according to some generic linear function. These orientations are easily seen to be acyclic. The main motivation for studying unique sink orientations are certain linear complementarity problems, which allow this combinatorial abstraction (due to Stickney and Watson, 1978), where orientations with cycles can arise. Similarly, some quadratic optimization problems, like computing the smallest enclosing ball of a finite point set, can be formulated as finding a sink in a unique sink orientation (with cycles possible). For acyclic unique sink orientations, randomized procedures due to Bernd Gartner (1998, 2001) with an expected number of at Most e/sup 2/spl radic/n/ vertex evaluations have been known. For the general case, a simple randomized (3/2)/sup n/ procedure exists (without explicit mention in the literature). We present new algorithms, a deterministic O(1.61/sup n/) procedure and a randomized O((43/20)/sup n/2/)=O(1.47/sup n/) procedure for unique sink orientations. An interesting aspect of these algorithms is that they do not proceed on a path to the sink (in a simplex-like fashion), but they exploit the potential of random access (in the sense of arbitrary access) to any vertex of the cube. We consider this feature the main contribution of the paper. We believe that unique sink orientations have a rich structure, and there is ample space for improvement on the bounds given above.
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