xSPDE: Extensible software for stochastic equations

We introduce an extensible software toolbox, xSPDE, for solving ordinary and partial stochastic differential equations. The toolbox makes extensive use of vector and parallel methods. Inputs are exceptionally simple, to reduce the learning curve, with default options for all of the many input parame...

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Bibliographic Details
Main Authors: Simon Kiesewetter, Rodney Polkinghorne, Bogdan Opanchuk, Peter D. Drummond
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:SoftwareX
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711016000030
Description
Summary:We introduce an extensible software toolbox, xSPDE, for solving ordinary and partial stochastic differential equations. The toolbox makes extensive use of vector and parallel methods. Inputs are exceptionally simple, to reduce the learning curve, with default options for all of the many input parameters. The code calculates functional means, correlations and spectra, checks for errors in both time-step and sampling, and provides several choices of algorithm. Most aspects of the code, including the numerical algorithm, have a modular functional design to allow user modifications. Keywords: Stochastic software code-generator
ISSN:2352-7110