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Title: Large-scale inverse model analyses employing fast randomized data reduction

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1];  [2]
  1. Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos New Mexico USA
  2. Institute for Computational Sciences and Engineering, University of Texas at Austin, Austin Texas USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1374898
Grant/Contract Number:
11145687
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-04-03 10:38:48; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Lin, Youzuo, Le, Ellen B., O'Malley, Daniel, Vesselinov, Velimir V., and Bui-Thanh, Tan. Large-scale inverse model analyses employing fast randomized data reduction. United States: N. p., 2017. Web. doi:10.1002/2016WR020299.
Lin, Youzuo, Le, Ellen B., O'Malley, Daniel, Vesselinov, Velimir V., & Bui-Thanh, Tan. Large-scale inverse model analyses employing fast randomized data reduction. United States. doi:10.1002/2016WR020299.
Lin, Youzuo, Le, Ellen B., O'Malley, Daniel, Vesselinov, Velimir V., and Bui-Thanh, Tan. Thu . "Large-scale inverse model analyses employing fast randomized data reduction". United States. doi:10.1002/2016WR020299.
@article{osti_1374898,
title = {Large-scale inverse model analyses employing fast randomized data reduction},
author = {Lin, Youzuo and Le, Ellen B. and O'Malley, Daniel and Vesselinov, Velimir V. and Bui-Thanh, Tan},
abstractNote = {},
doi = {10.1002/2016WR020299},
journal = {Water Resources Research},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 06 00:00:00 EDT 2017},
month = {Thu Jul 06 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on August 12, 2018
Publisher's Accepted Manuscript

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