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Title: 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.jcp.2014.09.021

Citation Metrics:
Cited by: 5 works
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Works referenced in this record:

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