Subsampling of Parametric Models with Bifidelity Boosting-Reference-Cited by-同舟云学术

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Subsampling of Parametric Models with Bifidelity Boosting

Published:2024-04-04 Issue:2 Volume:12 Page:213-241
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Cheng Nuojin¹,Malik Osman Asif²^ORCID,Xu Yiming³,Becker Stephen¹^ORCID,Doostan Alireza⁴,Narayan Akil⁵^ORCID

Affiliation:

1. Department of Applied Mathematics, University of Colorado at Boulder, Boulder, CO 80309-0526 USA.

2. Applied Mathematics & Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.

3. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

4. Sead Aerospace Engineering Sciences Department, University of Colorado at Boulder, Boulder, CO 80309 USA.

5. Scientific Computing and Imaging Institute, and Department of Mathematics, University of Utah, Salt Lake City, UT 84112 USA.

Funder

Air Force Office of Scientific Research

U.S. Department of Energy

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference40 articles.

1. Sparse Polynomial Approximation of High-Dimensional Functions

2. Kolmogorov widths and low-rank approximations of parametric elliptic PDEs

3. Sparse grids

4. Approximation results for orthogonal polynomials in Sobolev spaces

5. ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION

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