We characterize all limit laws of the quicksort type random variables defined recursively by Xn = X In + X n 1 In + Tn when the "toll function" Tn varies and satisfies general conditions, where (Xn ), (X n ), (I n ; Tn ) are independent, Xn n , and I n is uniformly distributed over f0; : : : ; n 1g. When the "toll function" Tn (cost needed to partition the original problem into smaller subproblems) is small (roughly lim sup n!1 log E(Tn )= log n 1=2), Xn is asymptotically normally distributed; non-normal limit laws emerge when Tn becomes larger. We give many new examples ranging from the number of exchanges in quicksort to sorting on broadcast communication model, from an in-situ permutation algorithm to tree traversal a...
Discrete functional limit theorems, which give independent process approximations for the joint dist...
AbstractWe consider distributional recursions which appear in the study of random binary search tree...
Asymptotics are a major domain of interest in stochastic modelling as low-probability events are har...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
In this paper we study the number of key exchanges required by Hoare’s FIND algorithm (also called Q...
We analyze a tractable model of a limit order book on short time scales, where the dynamics are driv...
AbstractWe study random algorithms arising in multiple access communication problems. We prove asymp...
Consider a recurrent event on the positive integers. Let N(n) denote the number of recurrences up to...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We study the range of a Markov chain moving forward on the positive integers. For every position, th...
We prove limit theorems for sums of functions of subtrees of binary search trees and random recursiv...
The adaptive processes of growth modeled by a generalized urn scheme have proved to be an efficient ...
Within the last thirty years, the contraction method has become an important tool for the distributi...
The limiting distribution of the normalized number of comparisons used by Quicksort to sort an array...
Discrete functional limit theorems, which give independent process approximations for the joint dist...
AbstractWe consider distributional recursions which appear in the study of random binary search tree...
Asymptotics are a major domain of interest in stochastic modelling as low-probability events are har...
[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Ga...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
In this paper we study the number of key exchanges required by Hoare’s FIND algorithm (also called Q...
We analyze a tractable model of a limit order book on short time scales, where the dynamics are driv...
AbstractWe study random algorithms arising in multiple access communication problems. We prove asymp...
Consider a recurrent event on the positive integers. Let N(n) denote the number of recurrences up to...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We study the range of a Markov chain moving forward on the positive integers. For every position, th...
We prove limit theorems for sums of functions of subtrees of binary search trees and random recursiv...
The adaptive processes of growth modeled by a generalized urn scheme have proved to be an efficient ...
Within the last thirty years, the contraction method has become an important tool for the distributi...
The limiting distribution of the normalized number of comparisons used by Quicksort to sort an array...
Discrete functional limit theorems, which give independent process approximations for the joint dist...
AbstractWe consider distributional recursions which appear in the study of random binary search tree...
Asymptotics are a major domain of interest in stochastic modelling as low-probability events are har...