随机点四叉树叶数的改进渐近性

Michael Fuchs, Noëla Müller, Henning Sulzbach
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引用次数: 3

摘要

在21世纪初,随机离散结构的形状参数从分布收敛到分布不收敛得到了几个相变结果。最近,对于那些允许自然鞅过程的随机结构,通过得到极限行为的精炼渐近,这些结果得到了很大的改进。在这项工作中,我们提出了一种新的方法,该方法也适用于不允许自然鞅过程的随机离散结构。作为一个例子,我们得到了随机点四叉树叶数的精细渐近性。更多的应用,例如在广义m-ary搜索树和随机网格树中塑造参数,将在这篇扩展摘要的期刊版中讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refined Asymptotics for the Number of Leaves of Random Point Quadtrees
In the early 2000s, several phase change results from distributional convergence to distributional non-convergence have been obtained for shape parameters of random discrete structures. Recently, for those random structures which admit a natural martingale process, these results have been considerably improved by obtaining refined asymptotics for the limit behavior. In this work, we propose a new approach which is also applicable to random discrete structures which do not admit a natural martingale process. As an example, we obtain refined asymptotics for the number of leaves in random point quadtrees. More applications, for example to shape parameters in generalized m-ary search trees and random gridtrees, will be discussed in the journal version of this extended abstract.
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