SUMMARY A numerical technique is introduced that reduces exponentially the time required for Monte Carlo simulations of non-equilibrium systems. Results for the quasi-stationary probability distribution in two model systems are compared with the asymptotically exact theory in the limit of extremely small noise intensity. Singularities of the non-equilibrium distributions are revealed by the simulations
We present a new numerical Monte Carlo approach to determine the scaling behavior of lattice field t...
By using the Monte Carlo method, we can obtain the minimum value of a function V(r) that is generall...
Abstract. In this paper, we consider a class of stochastic mathematical programs with equilibrium co...
SUMMARY A numerical technique is introduced that reduces exponentially the time required for Monte...
Abstract: A new numerical technique is demonstrated and shown to reduce exponentially the time requi...
A numerical technique is introduced that reduces exponentially the time required for Monte Carlo sim...
A numerical technique is introduced that reduces exponentially the time required for Monte Carlo sim...
A new numerical technique is demonstrated and shown to reduce exponentially the time required for Mo...
Noise-induced fluctuations in non-linear systems are studied theoretically and experimentally for fi...
How to find the (strongly non-Boltzmann) distribution in a far-from-equilibrium system is a problem ...
A treatment of direct simulation Monte Carlo method as a Markov process with a master equation is gi...
Metropolis Monte Carlo simulation is a powerful tool for studying the equilibrium properties of matt...
Summary. This article considers quasi-Monte Carlo sampling for integrands having isolated point sing...
In a number of problems of mathematical physics and other fields stochastic differential equations a...
This paper gives foundational results for the application of quasi-stationarity to Monte Carlo infer...
We present a new numerical Monte Carlo approach to determine the scaling behavior of lattice field t...
By using the Monte Carlo method, we can obtain the minimum value of a function V(r) that is generall...
Abstract. In this paper, we consider a class of stochastic mathematical programs with equilibrium co...
SUMMARY A numerical technique is introduced that reduces exponentially the time required for Monte...
Abstract: A new numerical technique is demonstrated and shown to reduce exponentially the time requi...
A numerical technique is introduced that reduces exponentially the time required for Monte Carlo sim...
A numerical technique is introduced that reduces exponentially the time required for Monte Carlo sim...
A new numerical technique is demonstrated and shown to reduce exponentially the time required for Mo...
Noise-induced fluctuations in non-linear systems are studied theoretically and experimentally for fi...
How to find the (strongly non-Boltzmann) distribution in a far-from-equilibrium system is a problem ...
A treatment of direct simulation Monte Carlo method as a Markov process with a master equation is gi...
Metropolis Monte Carlo simulation is a powerful tool for studying the equilibrium properties of matt...
Summary. This article considers quasi-Monte Carlo sampling for integrands having isolated point sing...
In a number of problems of mathematical physics and other fields stochastic differential equations a...
This paper gives foundational results for the application of quasi-stationarity to Monte Carlo infer...
We present a new numerical Monte Carlo approach to determine the scaling behavior of lattice field t...
By using the Monte Carlo method, we can obtain the minimum value of a function V(r) that is generall...
Abstract. In this paper, we consider a class of stochastic mathematical programs with equilibrium co...