Stochastic Galerkin Reduced Basis Methods for Parametrized Linear Convection–Diffusion–Reaction Equations

Stochastic Galerkin Reduced Basis Methods for Parametrized Linear Convection–Diffusion–Reaction Equations

We consider the estimation of parameter-dependent statistics of functional outputs of steady-state convection–diffusion–reaction equations with parametrized random and deterministic inputs in the framework of linear elliptic partial differential equations. For a given value of the deterministic para...

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Bibliographic Details
Main Authors: Sebastian Ullmann, Christopher Müller, Jens Lang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Fluids
Subjects:
model order reduction
proper orthogonal decomposition
stochastic galerkin
finite elements
parametrized partial differential equation
Monte Carlo
Online Access:https://www.mdpi.com/2311-5521/6/8/263

Internet

https://www.mdpi.com/2311-5521/6/8/263

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