Optimal Model Management for Multifidelity Monte Carlo Estimation

This work presents an optimal model management strategy that exploits multifidelity surrogate models to accelerate the estimation of statistics of outputs of computationally expensive high-fidelity models. Existing acceleration methods typically exploit a multilevel hierarchy of surrogate models tha...

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Bibliographic Details
Main Authors: Gunzburger, Max (Author), Peherstorfer, Benjamin (Contributor), Willcox, Karen E (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Society for Industrial and Applied Mathematics, 2017-05-02T20:44:01Z.
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