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.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/jcphy/IsaacPSG15
%A Isaac, Tobin
%A Petra, Noemi
%A Stadler, Georg
%A Ghattas, Omar
%D 2015
%J J. Comput. Phys.
%K dblp
%P 348-368
%T 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.
%U http://dblp.uni-trier.de/db/journals/jcphy/jcphy296.html#IsaacPSG15
%V 296
@article{journals/jcphy/IsaacPSG15,
added-at = {2020-02-19T00:00:00.000+0100},
author = {Isaac, Tobin and Petra, Noemi and Stadler, Georg and Ghattas, Omar},
biburl = {https://www.bibsonomy.org/bibtex/2690ba6c0e08c99ce9988eef8e05c4daf/dblp},
ee = {https://doi.org/10.1016/j.jcp.2015.04.047},
interhash = {baedc475808ddb5f25d3f52e4264056f},
intrahash = {690ba6c0e08c99ce9988eef8e05c4daf},
journal = {J. Comput. Phys.},
keywords = {dblp},
pages = {348-368},
timestamp = {2020-02-20T11:58:09.000+0100},
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.},
url = {http://dblp.uni-trier.de/db/journals/jcphy/jcphy296.html#IsaacPSG15},
volume = 296,
year = 2015
}
