Stochastic programs with binary distributions: Structural properties of scenario trees and algorithms
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Other versions of this item:
- Vit Prochazka & Stein W. Wallace, 2018. "Stochastic programs with binary distributions: structural properties of scenario trees and algorithms," Computational Management Science, Springer, vol. 15(3), pages 397-410, October.
References listed on IDEAS
- Yifei Zhao & Stein W. Wallace, 2014. "Integrated Facility Layout Design and Flow Assignment Problem Under Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 26(4), pages 798-808, November.
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Cited by:
- Wei Zhang & Kai Wang & Alexandre Jacquillat & Shuaian Wang, 2023. "Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 886-908, July.
- Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.
- Narum, Benjamin S. & Fairbrother, Jamie & Wallace, Stein W., 2024. "Problem-based scenario generation by decomposing output distributions," European Journal of Operational Research, Elsevier, vol. 318(1), pages 154-166.
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More about this item
Keywords
Stochastic programming; scenarios; binary random variables; algorithms;All these keywords.
JEL classification:
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
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