Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries-Reference-Cited by-同舟云学术

Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries

Published:2018-01 Issue:3 Volume:6 Page:1127-1150
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Chaudhry Jehanzeb H.^ORCID,Burch Nathanial,Estep Donald^ORCID

Funder

Defense Threat Reduction Agency

Idaho National Laboratory

Lawrence Livermore National Laboratory

Sandia National Laboratories

National Institutes of Health

Division of Graduate Education

Division of Electrical, Communications and Cyber Systems

Division of Mathematical Sciences

National Science Foundation

U.S. Department of Energy

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/17M112230X

Reference27 articles.

1. Probabilistic Electromechanical Modeling of Nanostructures with Random Geometry

2. The finite element method for elliptic equations with discontinuous coefficients

3. Worst case scenario analysis for elliptic problems with uncertainty

4. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations

5. Iterative Methods for the Solution of Elliptic Problems on Regions Partitioned into Substructures

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