Multifidelity approaches for optimization under uncertainty

It is important to design robust and reliable systems by accounting for uncertainty and variability in the design process. However, performing optimization in this setting can be computationally expensive, requiring many evaluations of the numerical model to compute statistics of the system performa...

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Bibliographic Details
Main Authors: Ng, Leo W. T. (Contributor), Willcox, Karen E. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Wiley Blackwell, 2015-06-05T16:19:05Z.
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