Multi-fidelity Gaussian process regression for prediction of random fields-Reference-Cited by-同舟云学术

Multi-fidelity Gaussian process regression for prediction of random fields

Published:2017-05 Issue: Volume:336 Page:36-50
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Parussini L.^ORCID,Venturi D.,Perdikaris P.,Karniadakis G.E.

Funder

DARPA EQUiPS

Army Research Office

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference35 articles.

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4. Sparse grids;Bungartz;Acta Numer.,2004

5. Karhunen–Loéve expansion for multi-correlated stochastic processes;Cho;Probab. Eng. Mech.,2013

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