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Normality of Tree-Growing Search Strategies

Russell Lyons and Kevin Zumbrun
The Annals of Applied Probability
Vol. 8, No. 1 (Feb., 1998), pp. 112-130
Stable URL: http://www.jstor.org/stable/2667238
Page Count: 19
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Normality of Tree-Growing Search Strategies
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Abstract

We study the class of tree-growing search strategies introduced by Lent and Mahmoud, searches for which data are stored in a deterministic sequence of tree structures (e.g., linear search in forward order). Specifically, we study the conditions under which the number of comparisons needed to sort a sequence of randomly ordered numbers is asymptotically normal. Our main result is a sufficient condition for normality in terms of the growth rate of tree height alone; this condition is easily computed and is satisfied by all standard deterministic search strategies. We also give some examples of normal search strategies with surprisingly small variance, in particular, much smaller than is possible for the class of consistent strategies that are the focus of the work by Lent and Mahmoud.

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