Chance Constrained Programs with Gaussian Mixture Models

Chance Constrained Programs with Gaussian Mixture Models

10.1080/24725854.2021.2001608

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Main Authors: Zhaolin Hu, Wenjie Sun, Shushang Zhu
Other Authors: ANALYTICS AND OPERATIONS
Format: Article
Published: Taylor & Francis 2022
Online Access:https://scholarbank.nus.edu.sg/handle/10635/231879
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Institution: National University of Singapore
id sg-nus-scholar.10635-231879
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spelling sg-nus-scholar.10635-2318792024-04-08T10:45:37Z Chance Constrained Programs with Gaussian Mixture Models Zhaolin Hu Wenjie Sun Shushang Zhu ANALYTICS AND OPERATIONS 10.1080/24725854.2021.2001608 IISE Transactions 54 12 1117-1130 2022-10-11T05:09:04Z 2022-10-11T05:09:04Z 2022-01-04 Article Zhaolin Hu, Wenjie Sun, Shushang Zhu (2022-01-04). Chance Constrained Programs with Gaussian Mixture Models. IISE Transactions 54 (12) : 1117-1130. ScholarBank@NUS Repository. https://doi.org/10.1080/24725854.2021.2001608 24725854 https://scholarbank.nus.edu.sg/handle/10635/231879 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/24725854.2021.2001608
author2 ANALYTICS AND OPERATIONS
author_facet ANALYTICS AND OPERATIONS
Zhaolin Hu
Wenjie Sun
Shushang Zhu
format Article
author Zhaolin Hu
Wenjie Sun
Shushang Zhu
spellingShingle Zhaolin Hu
Wenjie Sun
Shushang Zhu
Chance Constrained Programs with Gaussian Mixture Models
author_sort Zhaolin Hu
title Chance Constrained Programs with Gaussian Mixture Models
title_short Chance Constrained Programs with Gaussian Mixture Models
title_full Chance Constrained Programs with Gaussian Mixture Models
title_fullStr Chance Constrained Programs with Gaussian Mixture Models
title_full_unstemmed Chance Constrained Programs with Gaussian Mixture Models
title_sort chance constrained programs with gaussian mixture models
publisher Taylor & Francis
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/231879
_version_ 1800915575058202624

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