Interval uncertainty propagation by a parallel Bayesian global optimization method
type: Item
instance of: scholarly article
title: Interval uncertainty propagation by a parallel Bayesian global optimization method
zbMATH Open document ID: 1503.90168
author: Chao Dang
author: Pengfei Wei
author: Matthias Faes
author: Marcos A. Valdebenito
author: Michael A. Beer
published in: Applied Mathematical Modelling
publication date: 2022-12-21T00:00:00Z
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7635496
zbMATH Keywords: interval uncertainty propagation
zbMATH Keywords: Bayesian global optimization
zbMATH Keywords: Gaussian process
zbMATH Keywords: infill sampling criterion
zbMATH Keywords: parallel computing
cites work: Optimization Toolbox
cites work: Matlab
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describes a project that uses: Optimization Toolbox
describes a project that uses: Matlab
describes a project that uses: SPACE
describes a project that uses: EGO
MaRDI profile type: Publication
full work available at URL: j.apm.2022.03.031
OpenAlex ID: W4220754804
DOI: 10.1016/J.APM.2022.03.031
description: scientific article; zbMATH DE number 7635496