Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems

We propose optimal dimensionality reduction techniques for the solution of goal-oriented linear-Gaussian inverse problems, where the quantity of interest (QoI) is a function of the inversion parameters. These approximations are suitable for large-scale applications. In particular, we study the appro...

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Bibliographic Details
Main Authors: Cui, Tiangang (Author), Tenorio, Luis (Author), Spantini, Alessio (Contributor), Willcox, Karen E (Contributor), Marzouk, Youssef M (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Society for Industrial & Applied Mathematics (SIAM), 2018-04-04T17:21:53Z.
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