文献
J-GLOBAL ID:201802269527753759
整理番号:18A0397164
ロバストなカウンターパート最適化のための新しい事前と事後確率的限界:III既知の確率分布のための厳密および準正確事後表現【Powered by NICT】
New a priori and a posteriori probabilistic bounds for robust counterpart optimization: III. Exact and near-exact a posteriori expressions for known probability distributions
著者 (8件):
Guzman Yannis A.
(Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA)
,
Guzman Yannis A.
(Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA)
,
Guzman Yannis A.
(Texas A&M Energy Institute, Texas A&M University, College Station, TX, USA)
,
Matthews Logan R.
(Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA)
,
Matthews Logan R.
(Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA)
,
Matthews Logan R.
(Texas A&M Energy Institute, Texas A&M University, College Station, TX, USA)
,
Floudas Christodoulos A.
(Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA)
,
Floudas Christodoulos A.
(Texas A&M Energy Institute, Texas A&M University, College Station, TX, USA)
資料名:
Computers & Chemical Engineering
(Computers & Chemical Engineering)
巻:
103
ページ:
116-143
発行年:
2017年
JST資料番号:
H0199C
ISSN:
0098-1354
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)