標題: THE WIENER INDEX OF RANDOM DIGITAL TREES
作者: Fuchs, Michael
Lee, Chung-Kuei
應用數學系
Department of Applied Mathematics
關鍵字: Wiener index;random trees;digital trees;moments;central limit theorem
公開日期: 1-Jan-2015
摘要: The Wiener index has been studied for simply generated random trees, nonplane unlabeled random trees, and a huge subclass of random grid trees containing random binary search trees, random median-of-(2k+1) search trees, random m-ary search trees, random quadtrees, random simplex trees, etc. An important class of random grid trees for which the Wiener index was not studied so far is random digital trees. In this work, we close this gap. More precisely, we derive asymptotic expansions of moments of the Wiener index and show that a central limit law for the Wiener index holds. These results are obtained for digital search trees and bucket versions as well as tries and PATRICIA tries. Our findings answer in the affirmative two questions posed by Neininger.
URI: http://dx.doi.org/10.1137/140977989
http://hdl.handle.net/11536/124586
ISSN: 0895-4801
DOI: 10.1137/140977989
期刊: SIAM JOURNAL ON DISCRETE MATHEMATICS
Volume: 29
Issue: 1
起始頁: 586
結束頁: 614
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