A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources
type: Item
instance of: scholarly article
title: A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources
zbMATH Open document ID: 1506.74257
author: Christian Sabater
author: P. M. Congedo
author: Stefan Görtz
author: O. Le Maître
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-27T00:00:00Z
full work available at URL: Bayesian Quantile Sabater.pdf
Mathematics Subject Classification ID: 74P10
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 65K05
zbMATH DE Number: 7340415
zbMATH Keywords: robust design
zbMATH Keywords: optimization under uncertainty
zbMATH Keywords: high dimensional problems
zbMATH Keywords: Bayesian quantile regression
zbMATH Keywords: aerodynamics
zbMATH Keywords: computational fluid dynamics
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describes a project that uses: bayesQR
describes a project that uses: TAU
describes a project that uses: EGO
describes a project that uses: Silhouettes
MaRDI profile type: Publication
OpenAlex ID: W3115107750
DOI: 10.1016/J.CMA.2020.113632
description: scientific article; zbMATH DE number 7340415