Diffusive systems respecting the fluctuation-dissipation theorem with multiplicative noise have been studied on the level of stochastic differential equations. We propose an efficient simulation scheme motivated by the direct definition of the "kinetic stochastic integral", which differs from the better known Ito and the Stratonovich integrals. This simulation scheme is based on introducing the identity matrix, expressed in terms of the diffusion tensor and its inverse, in front of the noise term, and evaluating these factors at different times
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
Computing the stochastic entropy production associated with the evolution of a stochastic dynamical ...
A brief introduction to the simulation of stochastic differential equations is presented. Algorithms...
Diffusive systems respecting the fluctuation-dissipation theorem with multiplicative noise have been...
When modelling diffusive systems with stochastic differential equations, a question about interpreta...
A class of robust algorithms for the computer simulation of stochastic differential equations with m...
We consider stochastic differential equations for a variable q with multiplicative white and non...
This article discusses some numerical pitfalls associated with the classical solution of stochastic ...
We introduce a general framework for approximating parabolic Stochastic Partial Differential Equatio...
We develop numerical methods for stochastic reaction-diffusion systems based on approaches used for ...
AbstractWhen a system is acted upon by exterior disturbances, its time-development can often be desc...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
Abstract: Stochastic differential Ito-Stratonovich equations (SDE) with non-linear coeffic...
Analytical results are derived for the effective dispersion of a passive scalar in a stochastic vel...
When a system is acted upon by exterior disturbances, its time-development can often be described by...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
Computing the stochastic entropy production associated with the evolution of a stochastic dynamical ...
A brief introduction to the simulation of stochastic differential equations is presented. Algorithms...
Diffusive systems respecting the fluctuation-dissipation theorem with multiplicative noise have been...
When modelling diffusive systems with stochastic differential equations, a question about interpreta...
A class of robust algorithms for the computer simulation of stochastic differential equations with m...
We consider stochastic differential equations for a variable q with multiplicative white and non...
This article discusses some numerical pitfalls associated with the classical solution of stochastic ...
We introduce a general framework for approximating parabolic Stochastic Partial Differential Equatio...
We develop numerical methods for stochastic reaction-diffusion systems based on approaches used for ...
AbstractWhen a system is acted upon by exterior disturbances, its time-development can often be desc...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
Abstract: Stochastic differential Ito-Stratonovich equations (SDE) with non-linear coeffic...
Analytical results are derived for the effective dispersion of a passive scalar in a stochastic vel...
When a system is acted upon by exterior disturbances, its time-development can often be described by...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
Computing the stochastic entropy production associated with the evolution of a stochastic dynamical ...
A brief introduction to the simulation of stochastic differential equations is presented. Algorithms...