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Introduction to Stochastic Programming

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  • J M Wilson

    (Loughborough University)

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  • J M Wilson, 1998. "Introduction to Stochastic Programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 897-898, August.
    • Handle: RePEc:pal:jorsoc:v:49:y:1998:i:8:d:10.1057_palgrave.jors.2600031
    DOI: 10.1057/palgrave.jors.2600031
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    Cited by:

    1. Li, Ke & Yang, Fan & Wang, Lupan & Yan, Yi & Wang, Haiyang & Zhang, Chenghui, 2022. "A scenario-based two-stage stochastic optimization approach for multi-energy microgrids," Applied Energy, Elsevier, vol. 322(C).
    2. Wu, Jiaxin & Wang, Pingfeng, 2021. "Risk-averse optimization for resilience enhancement of complex engineering systems under uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Li, Xiaohong & Yang, Dong & Hu, Mengqi, 2018. "A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 126-146.
    4. Mimica, Marko & Giménez de Urtasun, Laura & Krajačić, Goran, 2022. "A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty," Energy, Elsevier, vol. 240(C).

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