Scenario-based stochastic programs: Resistance with respect to sample

被引:30
作者
Dupacova, J [1 ]
机构
[1] CHARLES UNIV,FAC MATH & PHYS,CR-18600 PRAGUE 8,CZECH REPUBLIC
关键词
contamination technique; SLP with random recourse; robust optimization; expected value problems; post-optimality; sensitivity analysis; worst-case analysis;
D O I
10.1007/BF02187639
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
A contamination technique is presented as a numerically tractable tool to post-optimization and analysis of robustness of the optimal value of scenario-based stochastic programs and of the expected value problems. Detailed applications of the method concern the two-stage stochastic linear programs with random recourse and the corresponding robust optimization problems.
引用
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页码:21 / 38
页数:18
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