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Partitioning procedures for solving mixed-variables programming problems
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Cited by
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
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Sanz, H., Valim, C., Vegas, E., Oller, J. M., & Reverter, F. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2451-4 · Cited by 804
Ajagekar, A., Humble, T., & You, F. (2020) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2019.106630 · Cited by 191
“The proposed hybrid QC-MIQP stepwise decomposition method is based on Bender’s decomposition [65], by considering the above manufacturing cell formation problem given in Eq.”
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Zhang, Y., Lu, M., & Shen, S. (2020) · Manufacturing & Service Operations Management · doi:10.1287/msom.2019.0855 · Cited by 78
Metadata
- Authors
- Benders, J. F.
- Venue
- Numerische Mathematik
- Published
- 1962-12
- Volume
- 4
- Issue
- 1
- Pages
- 238-252
- ISSN
- 0029-599X (ISSN-L)
- 0945-3245
- OpenAlex
- W2044121814
- Cited by
- 3,855
- References
- 0
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Partitioning procedures for solving mixed-variables programming problems. https://app.cochat.ai/papers/10.1007/bf01386316
- The paper
- Benders, J. F. (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik. https://doi.org/10.1007/bf01386316
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.