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Average-case analysis of QuickSort and Binary Insertion Tree height using incompressibility
Authors:Brendan Lucier  Tao Jiang  Ming Li
Affiliation:a Department of Computer Science, University of Waterloo, Waterloo, Ont. N2L 3G1, Canada
b Department of Compute Science, University of California, Riverside, CA 92521, USA
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 Θ(nlgn) comparisons on average.
Keywords:Analysis of algorithms   Binary insertion trees   Incompressibility   Kolmogorov complexity   QuickSort
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