Asymptotic expectation of protected node profile in random digital search trees

IF 0.3 Q4 MATHEMATICS, APPLIED Journal of Applied Mathematics Statistics and Informatics Pub Date : 2022-05-01 DOI:10.2478/jamsi-2022-0004
M. Javanian, R. I. Nabiyyi, J. Toofanpour, M. Q. Vahidi-Asl
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Abstract

Abstract Protected nodes are neither leaves nor parents of any leaves in a rooted tree. We study here protected node profile, namely, the number of protected nodes with the same distance from the root in digital search trees, some fundamental data structures to store 0 - 1 strings. When each string is a sequence of independent and identically distributed Bernoulli(p) random variables with 0 < p < ( p≠12 p \ne {1 \over 2} ), Drmota and Szpankowski (2011) investigated the expectation of internal profile by the analytic methods. Here, we generalize the main parts of their approach in order to obtain the asymptotic expectations of protected node profile and non-protected node profile in digital search trees.
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随机数字搜索树中受保护节点轮廓的渐近期望
摘要受保护的节点既不是有根树中任何叶子的叶子,也不是任何叶子的父节点。我们在这里研究了受保护节点配置文件,即数字搜索树中与根具有相同距离的受保护节点的数量,一些存储0-1字符串的基本数据结构。当每个字符串是一个0<p<(p≠12 p \ne{1\over 2})的独立且同分布的伯努利(p)随机变量序列时,Drmota和Szpankowski(2011)用分析方法研究了内部轮廓的期望。在这里,我们推广了他们方法的主要部分,以获得数字搜索树中受保护节点轮廓和非受保护节点廓的渐近期望。
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审稿时长
20 weeks
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