Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation

DOI10.1016/J.CMA.2024.116990zbMATH Open1539.62348MaRDI QIDQ6550154

Wei-Qi Qian, Liquan Mei, Chunlong Hai, Wenzheng Wang

Publication date: 4 June 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

active learninggeometric transformationmulti-fidelity surrogatemultiple sources of errors

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Statistical aspects of big data and data science (62R07)

Cites Work

• Title not available (Why is that?)
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• An elementary proof of a theorem of Johnson and Lindenstrauss
• Predicting the output from a complex computer code when fast approximations are available
• Bayesian Analysis of Hierarchical Multifidelity Codes

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