Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems-Reference-Cited by-同舟云学术

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Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems

Published:2022-03-24 Issue:12 Volume:123 Page:2760-2790
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Numerical Meth Engineering

Author:

Jakeman John D.¹^ORCID,Friedman Sam²,Eldred Michael S.¹,Tamellini Lorenzo³,Gorodetsky Alex A.⁴,Allaire Doug²

Affiliation:

1. Optimization and Uncertainty Quantification Sandia National Laboratories Albuquerque New Mexico USA

2. J. Mike Walker '66 Department of Mechanical Engineering Texas A&M University College Station Texas USA

3. Consiglio Nazionale delle Ricerche Istituto di Matematica Applicata e Tecnologie Informatiche “E. Magenes” (CNR‐IMATI) Pavia Italy

4. University of Michigan Ann Arbor Michigan USA

Funder

Air Force Office of Scientific Research

Sandia National Laboratories

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6958

Reference58 articles.

1. Stochastic Finite Elements: A Spectral Approach

2. Global sensitivity analysis using polynomial chaos expansions

3. The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

4. Gaussian Processes for Machine Learning

5. Design and Analysis of Computer Experiments

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