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Adjustable robust solutions of uncertain linear programs
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Theory and applications of robust optimization
Bertsimas, D., Brown, D. B., & Caramanis, C. (2011) · SIAM Review · doi:10.1137/080734510 · Cited by 134
Prescriptive analytics for human resource planning in the professional services industry
Berk, L., Bertsimas, D., Weinstein, A. M., & Yan, J. (2019) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.06.035 · Cited by 59
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps
Bünning, F., Warrington, J., Heer, P., Smith, R. S., & Lygeros, J. (2022) · Control Engineering Practice · doi:10.1016/j.conengprac.2022.105101 · Cited by 47
Metadata
- Authors
- Ben-Tal, A., Goryashko, A., Guslitzer, E., & Nemirovski, A.
- Venue
- Mathematical Programming
- Published
- 2004-03-01
- Volume
- 99
- Issue
- 2
- Pages
- 351-376
- ISSN
- 0025-5610
- 1436-4646
- Cited by
- 1,380
- References
- 0
- Licence
- www.springer.com/tdm (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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