Multi‐fidelity Gaussian process modeling with boundary information-Reference-Cited by-同舟云学术

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Multi‐fidelity Gaussian process modeling with boundary information

Published:2021-12-12 Issue: Volume: Page:
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Ye Wenxing¹,Tan Matthias Hwai Yong¹²^ORCID

Affiliation:

1. School of Data Science City University of Hong Kong Hong Kong China

2. Hong Kong Institute for Data Science (HKIDS) City University of Hong Kong Hong Kong China

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2656

Reference45 articles.

1. Computational Partial Differential Equations Using MATLAB®

2. The Design and Analysis of Computer Experiments

3. Design and Analysis of Computer Experiments

4. Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments

5. Predicting the output from a complex computer code when fast approximations are available

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