The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A reformulation-linearization technique for solving discrete and continuous nonconvex problems
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Citations
Cites
A Tight Linearization and an Algorithm for Zero-One Quadratic Programming Problems
Adams, W. P., & Sherali, H. D. (1986) · Management Science · doi:10.1287/mnsc.32.10.1274 · Cited by 255
Mixed-integer bilinear programming problems
Adams, W. P., & Sherali, H. D. (1993) · Mathematical Programming · doi:10.1007/bf01581249 · Cited by 98
Cited by
Semidefinite programming relaxations for semialgebraic problems
Parrilo, P. A. (2003) · Mathematical Programming · doi:10.1007/s10107-003-0387-5 · Cited by 1,527
A review of recent advances in global optimization
Floudas, C. A., & Gounaris, C. E. (2009) · Journal of Global Optimization · doi:10.1007/s10898-008-9332-8 · Cited by 455
A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0–1 Programming
Laurent, M. (2003) · Mathematics of Operations Research · doi:10.1287/moor.28.3.470.16391 · Cited by 373
Mixed Integer Linear Programming Formulation Techniques
Vielma, J. P. (2015) · SIAM Review · doi:10.1137/130915303 · Cited by 358
A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station
Yao, L., Lim, W. H., & Tsai, T. S. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2582749 · Cited by 304
Metadata
- Venue
- Computers & Mathematics with Applications
- Publisher
- Elsevier BV
- Published
- 1999-12
- Volume
- 38
- Issue
- 11-12
- Pages
- 288
- ISSN
- 0898-1221 (ISSN-L)
- OpenAlex
- W1571070457
- Cited by
- 591
- References
- 2
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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- A reformulation-linearization technique for solving discrete and continuous nonconvex problems. (1999). Computers & Mathematics with Applications. https://doi.org/10.1016/s0898-1221(99)91233-6
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.
