The idea of adaptive control of modeling error is expanded to include ideas of statistical calibration, validation, and uncertainty quantification. © 2010 John Wiley & Sons, Ltd.
|Original language||English (US)|
|Number of pages||11|
|Journal||International Journal for Numerical Methods in Engineering|
|State||Published - Sep 28 2010|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): US00003
Acknowledgements: We have benefitted from numerous discussions with colleagues over recent years on the subjects of verification, validation, statistical inverse analysis, and uncertainty quantification. In particular, we thank Ivo Babuska, Omar Ghattas, Raul Tempone, Ernesto Prudencio, and Robert Moser for helping us develop our current but still developing understanding of those subjects. We also gratefully acknowledge support of our work under the DOE Multiscale Mathematics Contract DE-FG02-05ER25701, the DOE PSAAP Contract DE-FC52-08NA28615, and the KAUST Contract US00003, all with ICES.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.