Results 51 to 60 of about 661,238 (311)

Numerical Approximation of Stationary Distribution for SPDEs [PDF]

open access: yes, 2013
In this paper, we show that the exponential integrator scheme both in spatial discretization and time discretization for a class of stochastic partial differential equations has a unique stationary distribution whenever the stepsize is sufficiently small,
Bao, Jianhai, Yuan, Chenggui
core  

Effective macroscopic dynamics of stochastic partial differential equations in perforated domains

open access: yes, 2006
An effective macroscopic model for a stochastic microscopic system is derived. The original microscopic system is modeled by a stochastic partial differential equation defined on a domain perforated with small holes or heterogeneities.
Allaire G.   +11 more
core   +2 more sources

A test of backward stochastic differential equations solver for solving semilinear parabolic differential equations in 1D and 2D

open access: yesPartial Differential Equations in Applied Mathematics, 2022
Backward stochastic differential equation solver was first introduced by Han et al in 2017. A semilinear parabolic partial differential equation is converted into a stochastic differential equation, and then solved by the backward stochastic differential
Evan Davis   +4 more
doaj  

A Multiscale-Analysis of Stochastic Bistable Reaction-Diffusion Equations [PDF]

open access: yesNonlinear Analysis, Vol. 162, 197--223, 2017, 2017
A multiscale analysis of 1D stochastic bistable reaction-diffusion equations with additive noise is carried out w.r.t. travelling waves within the variational approach to stochastic partial differential equations. It is shown with explicit error estimates on appropriate function spaces that up to lower order w.r.t. the noise amplitude, the solution can
arxiv   +1 more source

Variational Principles for Stochastic Soliton Dynamics

open access: yes, 2016
We develop a variational method of deriving stochastic partial differential equations whose solutions follow the flow of a stochastic vector field.
Holm, DD, Tyranowski, TM
core   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

Feynman-Kac theorem in Hilbert spaces

open access: yesElectronic Journal of Differential Equations, 2014
In this article we study the relationship between solutions to Cauchy problems for the abstract stochastic differential equation $dX(t)=AX(t)dt + BdW(t)$ and solutions to Cauchy problems (backward and forward) for the infinite dimensional ...
Irina V. Melnikova   +1 more
doaj  

Infinite Horizon Optimal Control of Stochastic Delay Evolution Equations in Hilbert Spaces

open access: yesAbstract and Applied Analysis, 2013
The aim of the present paper is to study an infinite horizon optimal control problem in which the controlled state dynamics is governed by a stochastic delay evolution equation in Hilbert spaces.
Xueping Zhu, Jianjun Zhou
doaj   +1 more source

Pandæsim: An Epidemic Spreading Stochastic Simulator

open access: yesBiology, 2020
Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity ...
Patrick Amar
doaj   +1 more source

Approximations of Stochastic Partial Differential Equations [PDF]

open access: yesarXiv, 2014
In this paper we show that solutions of stochastic partial differential equations driven by Brownian motion can be approximated by stochastic partial differential equations forced by pure jump noise/random kicks. Applications to stochastic Burgers equations are discussed.
arxiv  

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