A non‐intrusive domain‐decomposition model reduction method for linear steady‐state partial differential equations with random coefficients-Reference-Cited by-同舟云学术

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A non‐intrusive domain‐decomposition model reduction method for linear steady‐state partial differential equations with random coefficients

Published:2021-12-15 Issue: Volume: Page:
ISSN:0749-159X
Container-title:Numerical Methods for Partial Differential Equations
language:en
Short-container-title:Numerical Methods Partial

Author:

Zhang Guannan¹^ORCID,Mu Lin²^ORCID

Affiliation:

1. Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge Tennessee USA

2. Department of Mathematics University of Georgia Athens Georgia USA

Funder

Office of Science

Laboratory Directed Research and Development

Publisher

Wiley

Subject

Applied Mathematics,Computational Mathematics,Numerical Analysis,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/num.22856

Reference31 articles.

1. An explicit representation of a stationary Gaussian process;Kac M.;Ann. Math. Stat.,1947

2. Convergence analysis of multifidelity Monte Carlo estimation;Peherstorfer B.;Numer. Math.,2018

3. Analytic regularity and polynomial approximation of parametric and stochastic elliptic PDEs;Cohen A.;Anal. Appl.,2011

4. Convergence rates of best N‐term Galerkin approximations for a class of elliptic sPDEs;Cohen A.;Found. Comput. Math.,2010

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