G2TT
来源类型Article
规范类型其他
DOI10.1016/S0377-2217(96)00401-8
Accelerating the regularized decomposition method for two stage stochastic linear problems.
Ruszczynski A; Swietanowski A
发表日期1997
出处European Journal of Operational Research 101 (2): 328-342
出版年1997
语种英语
摘要Practical improvements of the regularized decomposition algorithm for two stage stochastic problems are presented. They are associated with the primal simplex method for solving subproblems. A penalty formulation of the subproblems is used, which facilitates crash and warm starts, and allows more freedom when creating the model. The computational results are highly encouraging.
主题Risk, Modeling, Policy (RMP)
关键词Stochastic programming Decomposition Non-smooth optimization
URLhttp://pure.iiasa.ac.at/id/eprint/5045/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127585
推荐引用方式
GB/T 7714
Ruszczynski A,Swietanowski A. Accelerating the regularized decomposition method for two stage stochastic linear problems.. 1997.
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