Quantifying uncertainty with stochastic collocation in the kinematic magentohydrodynamic framework

Technical Report

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/technical_reports/2n49t8722

Descriptions

Attribute Name	Values
Creator	Rajbhandari, Evan Gibson, Nathan L. Woodside, C. Rigel
Abstract	We discuss an efficient numerical method for the uncertain kinematic magnetohydrodynamic system. We include aleatoric uncertainty in the parameters, and then describe a stochastic collocation method to handle this randomness. Numerical demonstrations of this method are discussed. We find that the shape of the parameter distributions affect not only the mean and variance, but also the shape of the solution distributions.
License	Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
Resource Type	Preprint
Date Issued	2021
Degree Level	Master's
Degree Field	Mathematics
Academic Affiliation	Mathematics
Déclaration de droits	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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