Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet
Published in: | Journal of Computational Physics |
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2021
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Online Access: | http://www.osti.gov/servlets/purl/1359273 https://www.osti.gov/biblio/1359273 https://doi.org/10.1016/j.jcp.2015.04.047 |
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ftosti:oai:osti.gov:1359273 2023-07-30T03:57:43+02:00 Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet Isaac, Tobin Petra, Noemi Stadler, Georg Ghattas, Omar 2021-04-26 application/pdf http://www.osti.gov/servlets/purl/1359273 https://www.osti.gov/biblio/1359273 https://doi.org/10.1016/j.jcp.2015.04.047 unknown http://www.osti.gov/servlets/purl/1359273 https://www.osti.gov/biblio/1359273 https://doi.org/10.1016/j.jcp.2015.04.047 doi:10.1016/j.jcp.2015.04.047 2021 ftosti https://doi.org/10.1016/j.jcp.2015.04.047 2023-07-11T09:18:51Z Other/Unknown Material Antarc* Antarctic Ice Sheet SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Antarctic The Antarctic Journal of Computational Physics 296 348 368 |
institution |
Open Polar |
collection |
SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
op_collection_id |
ftosti |
language |
unknown |
author |
Isaac, Tobin Petra, Noemi Stadler, Georg Ghattas, Omar |
spellingShingle |
Isaac, Tobin Petra, Noemi Stadler, Georg Ghattas, Omar Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
author_facet |
Isaac, Tobin Petra, Noemi Stadler, Georg Ghattas, Omar |
author_sort |
Isaac, Tobin |
title |
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
title_short |
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
title_full |
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
title_fullStr |
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
title_full_unstemmed |
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet |
title_sort |
scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the antarctic ice sheet |
publishDate |
2021 |
url |
http://www.osti.gov/servlets/purl/1359273 https://www.osti.gov/biblio/1359273 https://doi.org/10.1016/j.jcp.2015.04.047 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_relation |
http://www.osti.gov/servlets/purl/1359273 https://www.osti.gov/biblio/1359273 https://doi.org/10.1016/j.jcp.2015.04.047 doi:10.1016/j.jcp.2015.04.047 |
op_doi |
https://doi.org/10.1016/j.jcp.2015.04.047 |
container_title |
Journal of Computational Physics |
container_volume |
296 |
container_start_page |
348 |
op_container_end_page |
368 |
_version_ |
1772818963414122496 |