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Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification
Author(s) -
Patrick Blonigan,
Gianluca Geraci,
Francesco Rizzi,
Michael Eldred
Publication year - 2020
Publication title -
aiaa scitech 2022 forum
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2020-0420
Subject(s) - computer science , uncertainty quantification , fidelity , focus (optics) , a priori and a posteriori , propagation of uncertainty , workflow , estimator , discretization , mathematical optimization , machine learning , algorithm , mathematics , telecommunications , mathematical analysis , philosophy , statistics , physics , epistemology , database , optics

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