The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
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Citations
Cites
Numerical Methods for Non-Linear Optimization
Vajda, S., & Lootsma, F. A. (1973) · Operational Research Quarterly (1970-1977) · doi:10.2307/3008352 · Cited by 589
An Algorithm for Separable Nonconvex Programming Problems
Falk, J. E., & Soland, R. M. (1969) · Management Science · doi:10.1287/mnsc.15.9.550 · Cited by 409
An Algorithm for Separable Nonconvex Programming Problems II: Nonconvex Constraints
Soland, R. M. (1971) · Management Science · doi:10.1287/mnsc.17.11.759 · Cited by 93
Cited by
Adjiman, C. S., Dallwig, S., Floudas, C. A., & Neumaier, A. (1998) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(98)00027-1 · Cited by 526
Global optimization for the synthesis of integrated water systems in chemical processes
Karuppiah, R., & Grossmann, I. E. (2006) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2005.11.005 · Cited by 437
Global optimization of bilinear process networks with multicomponent flows
Quesada, I., & Grossmann, I. E. (1995) · Computers & Chemical Engineering · doi:10.1016/0098-1354(94)00123-5 · Cited by 287
Malyuta, D., Reynolds, T. P., Szmuk, M., Lew, T., Bonalli, R., Pavone, M., & Açıkmeşe, B. (2022) · IEEE Control Systems · doi:10.1109/mcs.2022.3187542 · Cited by 259
Travel time resilience of roadway networks under disaster
Faturechi, R., & Miller-Hooks, E. (2014) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2014.08.007 · Cited by 255
Machine learning for combinatorial optimization: A methodological tour d'horizon
Bengio, Y., Lodi, A., & Prouvost, A. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.07.063 · Cited by 195
Global optimization for the parameter estimation of differential-algebraic systems
Esposito, W. R., & Floudas, C. A. (2000) · Industrial & Engineering Chemistry Research · doi:10.1021/ie990486w · Cited by 188
Miró, A., Pozo, C., Guillén-Gosálbez, G., Egea, J. A., & Jiménez, L. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-90 · Cited by 41
SDN-based Self-Configuration for Time-Sensitive IoT Networks
Bulbul, N. S., Ergenc, D., & Fischer, M. (2021) · 2021 IEEE 46th Conference on Local Computer Networks (LCN) · doi:10.1109/lcn52139.2021.9524979 · Cited by 32
Metadata
- Authors
- McCormick, G. P.
- Venue
- Mathematical Programming
- Published
- 1976-12
- Volume
- 10
- Issue
- 1
- Pages
- 147-175
- ISSN
- 0025-5610 (ISSN-L)
- 1436-4646
- OpenAlex
- W1988622494
- Cited by
- 2,281
- References
- 3
- FWCI
- 2.20
- 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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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.
