Title
Probabilistic Analysis of MULTIPLE QUICK SELECT
Abstract
.    We investigate the distribution of the number of comparisons made by MULTIPLE QUICK SELECT (a variant of QUICK SORT for finding order statistics). By convergence in the Wasserstein metric space, we show that a limit distribution exists for a suitably normalized version of the number of comparisons. We characterize the limiting distribution by an inductive convolution and find its variance. We show that the limiting distribution is smooth and prove that it has a continuous density with unbounded support.
Year
DOI
Venue
1998
10.1007/PL00009241
Algorithmica
Keywords
Field
DocType
Key words. Sorting,Limit distribution.
Applied mathematics,Discrete mathematics,Random variable,Mathematical optimization,Convolution,Probabilistic analysis of algorithms,Smoothing,Wasserstein metric,Metric space,Order statistic,Mathematics,Asymptotic distribution
Journal
Volume
Issue
ISSN
22
4
0178-4617
Citations 
PageRank 
References 
7
0.74
7
Authors
2
Name
Order
Citations
PageRank
Hosam M. Mahmoud118355.63
Robert T. Smythe29239.96