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The Cutting-Plane Method for Solving Convex Programs
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Citations
Cited by
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Joachims, T. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1150402.1150429 · Cited by 1,920
Variations and extension of the convex–concave procedure
Lipp, T., & Boyd, S. (2016) · Optimization and Engineering · doi:10.1007/s11081-015-9294-x · Cited by 744
Uncertain convex programs: randomized solutions and confidence levels
Calafiore, G., & Campi, M. C. (2005) · Mathematical Programming · doi:10.1007/s10107-003-0499-y · Cited by 659
A survey of resource constrained shortest path problems: Exact solution approaches
Pugliese, L. D. P., & Guerriero, F. (2013) · Networks · doi:10.1002/net.21511 · Cited by 147
AI-based competition of autonomous vehicle fleets with application to fleet modularity
Li, X., & Epureanu, B. I. (2020) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.05.020 · Cited by 20
Metadata
- Authors
- Kelley, Jr.
- Venue
- Journal of the Society for Industrial and Applied Mathematics
- Published
- 1960-12
- Volume
- 8
- Issue
- 4
- Pages
- 703-712
- ISSN
- 0368-4245 (ISSN-L)
- 2168-3484
- OpenAlex
- W2069808690
- Cited by
- 1,549
- References
- 0
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- closed
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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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How to cite
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- This page
- CoChat. (2026). Citation check: The Cutting-Plane Method for Solving Convex Programs. https://app.cochat.ai/papers/10.1137/0108053
- The paper
- Kelley, Jr. (1960). The Cutting-Plane Method for Solving Convex Programs. Journal of the Society for Industrial and Applied Mathematics. https://doi.org/10.1137/0108053
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
