Numerical simulation of stochastic PDEs for excitable media
type: Item
instance of: scholarly article
title: Numerical simulation of stochastic PDEs for excitable media
zbMATH Open document ID: 1066.65017
author: Tony Shardlow
published in: Journal of Computational and Applied Mathematics
publication date: 2005-02-23T00:00:00Z
review text: The author considers the numerical simulation of stochastic partial differential equations (PDEs) of reaction-diffusion type. Two methods are considered for numerically solving the stochastically perturbed Barkley model. A particularly efficient method for approximating the driving Wiener process is proposed.
reviewed by: Eckhard Platen
Mathematics Subject Classification ID: 65C30
Mathematics Subject Classification ID: 60H15
Mathematics Subject Classification ID: 35K57
Mathematics Subject Classification ID: 60H35
zbMATH DE Number: 2137463
zbMATH Keywords: stochastic PDEs
zbMATH Keywords: reaction-diffusion equations
zbMATH Keywords: numerical simulation
zbMATH Keywords: Excitable media
zbMATH Keywords: Barkley model
zbMATH Keywords: Wiener process
describes a project that uses: FFTW
describes a project that uses: Ziggurat
describes a project that uses: rnorrexp
MaRDI profile type: Publication
full work available at URL: j.cam.2004.06.020
OpenAlex ID: W2122992003
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DOI: 10.1016/J.CAM.2004.06.020
description: scientific article; zbMATH DE number 2137463