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QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS

QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS ▪ Abstract This review covers Verification, Validation, Confirmation and related subjects for computational fluid dynamics (CFD), including error taxonomies, error estimation and banding, convergence rates, surrogate estimators, nonlinear dynamics, and error estimation for grid adaptation vs Quantification of Uncertainty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Fluid Mechanics Annual Reviews

QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS

Roache, P. J.
Annual Review of Fluid Mechanics , Volume 29 (1) – Jan 1, 1997
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Publisher
Annual Reviews
Copyright
Copyright © 1997 by Annual Reviews Inc. All rights reserved
Subject
Review Articles
ISSN
0066-4189
eISSN
1545-4479
DOI
10.1146/annurev.fluid.29.1.123
Publisher site
See Article on Publisher Site

Abstract

▪ Abstract This review covers Verification, Validation, Confirmation and related subjects for computational fluid dynamics (CFD), including error taxonomies, error estimation and banding, convergence rates, surrogate estimators, nonlinear dynamics, and error estimation for grid adaptation vs Quantification of Uncertainty.

Journal

Annual Review of Fluid Mechanics – Annual Reviews

Published: Jan 1, 1997

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