The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Knitro: An Integrated Package for Nonlinear Optimization
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Citations
Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Andersen, E. D., & Andersen, K. D. (2000) · Applied Optimization · doi:10.1007/978-1-4757-3216-0_8 · Cited by 766
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Constrained Optimization Approaches to Estimation of Structural Models
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A convex relaxation for approximate global optimization in simultaneous localization and mapping
Rosen, D. M., DuHadway, C., & Leonard, J. J. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2015.7140014 · Cited by 56
“The convex optimization (28) was implemented in MATLAB using the fmincon interior-point method (which is itself an implementation of KNITRO , a high-quality interior-point trust-region method for large-scale nonlinear programming [13], [14]).”
MethodGebbran, D., Mhanna, S., Chapman, A. C., & Verbič, G. (2023) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3227635 · Cited by 38
Salah, K. (2014) · European Transport Research Review · doi:10.1007/s12544-013-0106-0 · Cited by 32
Metadata
- Authors
- Byrd, R. H., Nocedal, J., & Waltz, R. A.
- Venue
- Nonconvex Optimization and Its Applications
- Publisher
- Springer US
- Published
- 2006
- Pages
- 35-59
- ISSN
- 1571-568X (ISSN-L)
- OpenAlex
- W180478659
- Cited by
- 979
- References
- 2
- FWCI
- 38.07
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Knitro: An Integrated Package for Nonlinear Optimization. https://app.cochat.ai/papers/10.1007/0-387-30065-1_4
- The paper
- Byrd, R. H., Nocedal, J., & Waltz, R. A. (2006). Knitro: An Integrated Package for Nonlinear Optimization. Nonconvex Optimization and Its Applications. https://doi.org/10.1007/0-387-30065-1_4
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.
