Add to ORKGA new numerical technique is demonstrated and shown to reduce exponentially the time required for Monte Carlo simulations of non-equilibrium systems. The quasi stationary probability dis- tribution is computed for two model systems, and the results 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 three algorithms for calculating rate constants and sampling transition paths for rare ev...
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
In this paper semi-analytical forward-difference Monte Carlo simulation procedures are proposed for ...
Abstract: A new numerical technique is demonstrated and shown to reduce exponentially the time requi...
SUMMARY A numerical technique is introduced that reduces exponentially the time required for Monte...
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...
Metropolis Monte Carlo simulation is a powerful tool for studying the equilibrium properties of matt...
How to find the (strongly non-Boltzmann) distribution in a far-from-equilibrium system is a problem ...
Singular behavior and the formation of plateaus in the probability distribution in a nonadiabaticall...
Noise-induced fluctuations in non-linear systems are studied theoretically and experimentally for fi...
This paper introduces a class of Monte Carlo algorithms which are based upon simulating a Markov pro...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
A treatment of direct simulation Monte Carlo method as a Markov process with a master equation is gi...
We present three algorithms for calculating rate constants and sampling transition paths for rare ev...
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
In this paper semi-analytical forward-difference Monte Carlo simulation procedures are proposed for ...
Abstract: A new numerical technique is demonstrated and shown to reduce exponentially the time requi...
SUMMARY A numerical technique is introduced that reduces exponentially the time required for Monte...
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...
Metropolis Monte Carlo simulation is a powerful tool for studying the equilibrium properties of matt...
How to find the (strongly non-Boltzmann) distribution in a far-from-equilibrium system is a problem ...
Singular behavior and the formation of plateaus in the probability distribution in a nonadiabaticall...
Noise-induced fluctuations in non-linear systems are studied theoretically and experimentally for fi...
This paper introduces a class of Monte Carlo algorithms which are based upon simulating a Markov pro...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
The approach to the ergodic limit in Monte Carlo simulations is studied using both analytic and nume...
A treatment of direct simulation Monte Carlo method as a Markov process with a master equation is gi...
We present three algorithms for calculating rate constants and sampling transition paths for rare ev...
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
In this paper semi-analytical forward-difference Monte Carlo simulation procedures are proposed for ...