Mesh refinement for uncertainty quantification through model reduction
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1246996
- Grant/Contract Number:
- SC0009280; CM4
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Computational Physics
- Additional Journal Information:
- Journal Name: Journal of Computational Physics Journal Volume: 280 Journal Issue: C; Journal ID: ISSN 0021-9991
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Li, Jing, and Stinis, Panos. Mesh refinement for uncertainty quantification through model reduction. United States: N. p., 2015.
Web. doi:10.1016/j.jcp.2014.09.021.
Li, Jing, & Stinis, Panos. Mesh refinement for uncertainty quantification through model reduction. United States. https://doi.org/10.1016/j.jcp.2014.09.021
Li, Jing, and Stinis, Panos. Thu .
"Mesh refinement for uncertainty quantification through model reduction". United States. https://doi.org/10.1016/j.jcp.2014.09.021.
@article{osti_1246996,
title = {Mesh refinement for uncertainty quantification through model reduction},
author = {Li, Jing and Stinis, Panos},
abstractNote = {},
doi = {10.1016/j.jcp.2014.09.021},
journal = {Journal of Computational Physics},
number = C,
volume = 280,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.jcp.2014.09.021
https://doi.org/10.1016/j.jcp.2014.09.021
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Cited by: 5 works
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