Extending classical surrogate modeling to high dimensions through supervised dimensionality reduction: A data-driven approach
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Date
2020
Publication Type
Journal Article
ETH Bibliography
yes
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Publication status
published
Editor
Book title
Journal / series
Volume
10 (1)
Pages / Article No.
55 - 82
Publisher
Begell House
Event
Edition / version
Methods
Software
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Date collected
Date created
Subject
dimensionality reduction; surrogate modeling; Kriging; Polynomial chaos expansions; kernel principal component analysis (PCA)
Organisational unit
03962 - Sudret, Bruno / Sudret, Bruno
Notes
Funding
Related publications and datasets
Is new version of: https://doi.org/10.3929/ethz-b-000315672