AbstractWe study random algorithms arising in multiple access communication problems. We prove asymptotic stability and normality. Numerical analysis of the performance of the algorithms is provided. The general convergence theorems in the paper are based on contraction properties of suitably chosen (ideal) metrics. The approach allows us to prove asymptotic normality under very weak conditions, superseding the results of other authors. Stable and multivariate extensions seem to be analysed for the first time in the literature. Our numerical results show that the Capetanakis—Tsybakov—Mikhailov (CTM) algorithm and the trinomial algorithm have a similar asymptotic behaviour. For a small number of users there are some differences concerning th...
ABSTRACT. We show that an algorithmic construction of sequences of recursive trees leads to a direct...
We use fluid limits to explore the (in)stability properties of wireless networks with queue-based ra...
This dissertation develops connections between algorithmic randomness and computable analysis. In th...
AbstractWe study random algorithms arising in multiple access communication problems. We prove asymp...
We propose martingale central limit theorems as an appropriate tool to prove asymptotic normality of...
Within the last thirty years, the contraction method has become an important tool for the distributi...
Abstract-We consider a decentralized multiple access system with a binary "success-failure"...
Recursive sequences of laws of random variables (and random vectors) are considered where an indepen...
AbstractThe performance attributes of a broad class of randomised algorithms can be described by a r...
We characterize all limit laws of the quicksort type random variables defined recursively by Xn = X ...
tic analysis of algorithms Exponential tail bounds are derived for solutions of max-recursive equati...
This dissertation studies the asymptotics of two multi-user channel problems. The fingerprinting cha...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
In this paper, we consider random communication requirements and several cost measures for a par...
ABSTRACT. We show that an algorithmic construction of sequences of recursive trees leads to a direct...
We use fluid limits to explore the (in)stability properties of wireless networks with queue-based ra...
This dissertation develops connections between algorithmic randomness and computable analysis. In th...
AbstractWe study random algorithms arising in multiple access communication problems. We prove asymp...
We propose martingale central limit theorems as an appropriate tool to prove asymptotic normality of...
Within the last thirty years, the contraction method has become an important tool for the distributi...
Abstract-We consider a decentralized multiple access system with a binary "success-failure"...
Recursive sequences of laws of random variables (and random vectors) are considered where an indepen...
AbstractThe performance attributes of a broad class of randomised algorithms can be described by a r...
We characterize all limit laws of the quicksort type random variables defined recursively by Xn = X ...
tic analysis of algorithms Exponential tail bounds are derived for solutions of max-recursive equati...
This dissertation studies the asymptotics of two multi-user channel problems. The fingerprinting cha...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
In this paper, we consider random communication requirements and several cost measures for a par...
ABSTRACT. We show that an algorithmic construction of sequences of recursive trees leads to a direct...
We use fluid limits to explore the (in)stability properties of wireless networks with queue-based ra...
This dissertation develops connections between algorithmic randomness and computable analysis. In th...