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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1016/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 |
URL | http://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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