Introduction to Stochastic Programming
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Stochastic optimization is a traditional technique for decision making under uncertainty.
“A traditional technique for decision making under uncertainty is stochastic optimization (Birge & Louveaux, 2011).”
From Prescriptive analytics: Literature review and research challenges (2020) · cites this paper as Birge & Louveaux, 2011
Cited by
Sorted by citations
Pyomo — Optimization Modeling in Python
Bynum, M. L., Hackebeil, G. A., Hart, W. E., Laird, C. D., Nicholson, B. L., Siirola, J. D., Watson, J.-P., & Woodruff, D. L. (2021) · Springer Optimization and Its Applications · doi:10.1007/978-3-030-68928-5 · Cited by 806 · see citing works
Prescriptive analytics: Literature review and research challenges
Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.003 · Cited by 501 · see citing works
Solving conservation planning problems with integer linear programming
Beyer, H. L., Dujardin, Y., Watts, M. E., & Possingham, H. P. (2016) · Ecological Modelling · doi:10.1016/j.ecolmodel.2016.02.005 · Cited by 174 · see citing works
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 · see citing works
Yan, W., Wang, X., Liu, Y., Zhang, X.-M., Jiang, Z.-G., & Huang, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-51169-6 · Cited by 31 · see citing works
Application of Ai Techniques in Monitoring and Operation of Power Systems
Gao, D. W., Wang, Q., Zhang, F., Yang, X., Huang, Z., Ma, S., Li, Q., Gong, X., & Wang, F.-Y. (2019) · Frontiers in Energy · doi:10.1007/s11708-018-0589-4 · Cited by 28 · see citing works
- Authors
- Birge, J. R., & Louveaux, F.
- Affiliations
- University of Chicago (US)
- ORCID
- Birge, John R.
- Venue
- Springer Series in Operations Research and Financial Engineering
- Publisher
- Springer New York
- Published
- 2011
- ISSN
- 1431-8598 (ISSN-L)
- OpenAlex
- W1569990960
- Cited by
- 6,469
- References
- 0
- Citations by year
- 2026: 216 · 2025: 262 · 2024: 298 · 2023: 261 · 2022: 271 · 2021: 357 · 2020: 358 · 2019: 347 · 2018: 346 · 2017: 332 · 2016: 291 · 2015: 328 · 2014: 341 · 2013: 297 · 2012: 286
- FWCI
- 126.44
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer series in operations research/Springer series in operations research and financial engineering (publishedVersion)
- Thammasat University Digital Collections (submittedVersion)
- TU Digital Collections (Thammasat University) (submittedVersion)
- International Linear Collider (submittedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Risk and Portfolio Optimization
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
- Keywords
- stochastic programming, uncertainty in optimization, optimal decision making, data uncertainty
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
