Exploiting the polyhedral geometry of stochastic linear bilevel programming
Author:
Funder
Agencia Nacional de Investigación y Desarrollo
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10107-024-02097-w.pdf
Reference36 articles.
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2. Beck, Y., Ljubić, I., Schmidt, M.: A survey on bilevel optimization under uncertainty. Eur. J. Oper. Res. (2023)
3. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. SIAM Rev. 59(1), 65–98 (2017). https://doi.org/10.1137/141000671
4. Buchheim, C.: Bilevel linear optimization belongs to NP and admits polynomial-size KKT-based reformulations. Oper. Res. Lett. 51(6), 618–622 (2023)
5. Buchheim, C., Henke, D.: The robust bilevel continuous knapsack problem with uncertain coefficients in the follower’s objective. J. Global Optim. 83(4), 803–824 (2022)
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