A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1547629
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Computer Methods in Applied Mechanics and Engineering
- Additional Journal Information:
- Journal Name: Computer Methods in Applied Mechanics and Engineering Journal Volume: 350 Journal Issue: C; Journal ID: ISSN 0045-7825
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
Citation Formats
Lei, Huan, Li, Jing, Gao, Peiyuan, Stinis, Panagiotis, and Baker, Nathan A. A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness. Netherlands: N. p., 2019.
Web. doi:10.1016/j.cma.2019.03.014.
Lei, Huan, Li, Jing, Gao, Peiyuan, Stinis, Panagiotis, & Baker, Nathan A. A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness. Netherlands. https://doi.org/10.1016/j.cma.2019.03.014
Lei, Huan, Li, Jing, Gao, Peiyuan, Stinis, Panagiotis, and Baker, Nathan A. Sat .
"A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness". Netherlands. https://doi.org/10.1016/j.cma.2019.03.014.
@article{osti_1547629,
title = {A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness},
author = {Lei, Huan and Li, Jing and Gao, Peiyuan and Stinis, Panagiotis and Baker, Nathan A.},
abstractNote = {},
doi = {10.1016/j.cma.2019.03.014},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 350,
place = {Netherlands},
year = {Sat Jun 01 00:00:00 EDT 2019},
month = {Sat Jun 01 00:00:00 EDT 2019}
}
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.cma.2019.03.014
https://doi.org/10.1016/j.cma.2019.03.014
Other availability
Cited by: 3 works
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