On the Scenario-Tree Optimal-Value Error for Stochastic Programming Problems
On the Scenario-Tree Optimal-Value Error for Stochastic Programming Problems
复制标题
随机规划问题的情景树最优值误差
DOI:
10.1287/moor.2019.1043
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
M. Gendreau
中科院分区:
文献类型:
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作者:
Julien Keutchayan;D. Munger;M. Gendreau
Stochastic programming problems generally lead to large-scale programs if the number of random outcomes is large or if the problem has many stages. A way to tackle them is provided by scenario-tree...