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

Bibliographic Details
Published in:Journal of Computational Physics
Main Authors: Isaac, Tobin, Petra, Noemi, Stadler, Georg, Ghattas, Omar
Language:unknown
Published: 2021
Subjects:
Antarctic
The Antarctic
Antarc*
Ice Sheet
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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spelling 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
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