Title
Average-case analysis of QuickSort and Binary Insertion Tree height using incompressibility
Abstract
We study the Kolmogorov complexity of a Binary Insertion Tree, and present a succinct encoding scheme for Binary Insertion Trees produced from incompressible permutations. Based on the encoding scheme, we obtain a simple incompressibility argument that yields an asymptotic analysis of the average height of a Binary Insertion Tree. This argument further implies that the QuickSort algorithm sorts a permutation of n elements in @Q(nlgn) comparisons on average.
Year
DOI
Venue
2007
10.1016/j.ipl.2007.01.007
Inf. Process. Lett.
Keywords
Field
DocType
average-case analysis,simple incompressibility argument,encoding scheme,quicksort algorithm sort,asymptotic analysis,binary insertion tree,kolmogorov complexity,incompressible permutation,succinct encoding scheme,average height,binary insertion trees,binary insertion tree height,analysis of algorithms
Discrete mathematics,Combinatorics,AVL tree,Self-balancing binary search tree,Binary tree,Quicksort,Order statistic tree,Red–black tree,Random binary tree,Binary expression tree,Mathematics
Journal
Volume
Issue
ISSN
103
2
0020-0190
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Brendan Lucier163852.17
Tao Jiang21809155.32
Ming Li35595829.00