In this paper we extend the mean-field limit of a class of stochastic models with exponential and deterministic delays to include exponential and generally-distributed delays. Our main focus is the rigorous proof of the mean-field limit
We consider stochastic models in presence of uncertainty, originating from lack of knowledge of para...
AbstractA new semantics in terms of mean field equations is presented for WSCCS (Weighted Synchronou...
In this paper, the rigorous linking of exact stochastic models to mean-field approximations is studi...
The mean-field analysis technique is used to perform analysis of a systems with a large number of co...
The mean-field analysis technique is used to perform analysis of a system with a large number of com...
Deterministic limit of a class of continuous time Markov chains is considered based purely on differ...
International audienceMean field approximation is a popular method to study the behaviour of stochas...
International audienceMean-field approximation is a powerful tool to study large-scale stochastic sy...
We consider a finite number of $N$ statistically equal individuals, each moving on a finite set of s...
Random-access algorithms such as the CSMA protocol provide a popular mechanism for distributed mediu...
Mean field approximation is a powerful technique which has been used in many settings to study large...
In this paper, we study a large multi-server loss model under the SQ(d) routeing scheme when the ser...
We compare population models in terms of Continuous Time Markov Chains with embedded deterministic d...
The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting fr...
A new semantics in terms of Mean Field Equations is presented for WSCCS (Weighted Synchronous Calcul...
We consider stochastic models in presence of uncertainty, originating from lack of knowledge of para...
AbstractA new semantics in terms of mean field equations is presented for WSCCS (Weighted Synchronou...
In this paper, the rigorous linking of exact stochastic models to mean-field approximations is studi...
The mean-field analysis technique is used to perform analysis of a systems with a large number of co...
The mean-field analysis technique is used to perform analysis of a system with a large number of com...
Deterministic limit of a class of continuous time Markov chains is considered based purely on differ...
International audienceMean field approximation is a popular method to study the behaviour of stochas...
International audienceMean-field approximation is a powerful tool to study large-scale stochastic sy...
We consider a finite number of $N$ statistically equal individuals, each moving on a finite set of s...
Random-access algorithms such as the CSMA protocol provide a popular mechanism for distributed mediu...
Mean field approximation is a powerful technique which has been used in many settings to study large...
In this paper, we study a large multi-server loss model under the SQ(d) routeing scheme when the ser...
We compare population models in terms of Continuous Time Markov Chains with embedded deterministic d...
The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting fr...
A new semantics in terms of Mean Field Equations is presented for WSCCS (Weighted Synchronous Calcul...
We consider stochastic models in presence of uncertainty, originating from lack of knowledge of para...
AbstractA new semantics in terms of mean field equations is presented for WSCCS (Weighted Synchronou...
In this paper, the rigorous linking of exact stochastic models to mean-field approximations is studi...