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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:
Grant/Contract Number:
11145687
Type:
Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-08-13 15:24:33; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1374898

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., 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. 2017. "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 = {2017},
month = {7}
}