Theoretical investigations of the new cokriging method for variable-fidelity surrogate modeling. Well-posedness and maximum likelihood training.
type: Item
instance of: scholarly article
title: Theoretical investigations of the new cokriging method for variable-fidelity surrogate modeling. Well-posedness and maximum likelihood training.
zbMATH Open document ID: 1405.62120
author: Anna Bertram
author: R. Zimmermann
published in: Advances in Computational Mathematics
publication date: 2018-12-28T00:00:00Z
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 60G15
Mathematics Subject Classification ID: 62K20
Mathematics Subject Classification ID: 65C20
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 65D15
zbMATH DE Number: 6997009
zbMATH Keywords: cokriging
zbMATH Keywords: surrogate modeling
zbMATH Keywords: variable-fidelity methods
zbMATH Keywords: multifidelity methods
zbMATH Keywords: response surface
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: covariance matrix
describes a project that uses: OpenFOAM
describes a project that uses: DACE
MaRDI profile type: Publication
full work available at URL: s10444-017-9585-1
OpenAlex ID: W2757417781
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cites work: Design and analysis of computer experiments. With comments and a rejoinder by the authors
cites work: The design and analysis of computer experiments.
cites work: Q3086621
DOI: 10.1007/S10444-017-9585-1
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description: scientific article; zbMATH DE number 6997009