[Abstract]: The computer algebra routine documented here empowers you to reproduce and check many of the details described elsewhere. We consider a region of a spatial domain far from any boundaries, and apply stochastic centre manifold techniques to derive a discrete model for the dynamics. The approach automatically parametrises the microscale structures induced by spatially varying stochastic noise within each element. The crucial aspect of this work is that we explore how many noise processes and neighbouring elements may interact in nonlinear dynamics
Power-law noises abound in nature and have been observed extensively in both time se-ries and spatia...
International audienceWe perform numerical simulations in the one-dimensional torus for the first ord...
In this paper, we develop an algorithm refinement (AR) scheme for an excluded random walk model whos...
Submitted to Cornell University’s online archive www.arXiv.org in 2006 by Tony Roberts.Constructing ...
[Abstract]: Constructing discrete models of stochastic partial differential equations is very delica...
AbstractConstructing numerical models of noisy partial differential equations is a very delicate tas...
© Austral. Mathematical Soc. 2007.Constructing discrete models of stochastic partial differential eq...
© Austral. Mathematical Soc. 2003.The long term aim is to use modern dynamical systems theory to der...
The inviscid limit of the stochastic Burgers equation, with body forces white noise in time, is disc...
In biology many phenomena involve noise and multiple time scales. Noise may be constructive and indu...
Burgers' equation with stochastic initial and boundary conditions is investigated by a polynomial ch...
A stochastic partial differential equation (SPDE) is a partial differential equation containing a ra...
The stochastic Burgers ’ equation with uncertain initial and boundary conditions is ap-proximated us...
We perform numerical simulations in the one-dimensional torus for the first order Burgers ...
Coarse grained, macroscale, spatial discretisations of nonlinear nonautonomous partial dif- ferentia...
Power-law noises abound in nature and have been observed extensively in both time se-ries and spatia...
International audienceWe perform numerical simulations in the one-dimensional torus for the first ord...
In this paper, we develop an algorithm refinement (AR) scheme for an excluded random walk model whos...
Submitted to Cornell University’s online archive www.arXiv.org in 2006 by Tony Roberts.Constructing ...
[Abstract]: Constructing discrete models of stochastic partial differential equations is very delica...
AbstractConstructing numerical models of noisy partial differential equations is a very delicate tas...
© Austral. Mathematical Soc. 2007.Constructing discrete models of stochastic partial differential eq...
© Austral. Mathematical Soc. 2003.The long term aim is to use modern dynamical systems theory to der...
The inviscid limit of the stochastic Burgers equation, with body forces white noise in time, is disc...
In biology many phenomena involve noise and multiple time scales. Noise may be constructive and indu...
Burgers' equation with stochastic initial and boundary conditions is investigated by a polynomial ch...
A stochastic partial differential equation (SPDE) is a partial differential equation containing a ra...
The stochastic Burgers ’ equation with uncertain initial and boundary conditions is ap-proximated us...
We perform numerical simulations in the one-dimensional torus for the first order Burgers ...
Coarse grained, macroscale, spatial discretisations of nonlinear nonautonomous partial dif- ferentia...
Power-law noises abound in nature and have been observed extensively in both time se-ries and spatia...
International audienceWe perform numerical simulations in the one-dimensional torus for the first ord...
In this paper, we develop an algorithm refinement (AR) scheme for an excluded random walk model whos...