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Nonlinear Programming
Abstract
While linear programming has found numerous practical applications, the assumptions o f proportionality, additivity, and other forms o f nonlinearity are common in many engineering applications. Most often the sources of nonlinearity are the physical process and the associated engineering prin ciples that are not amenable to linearization. Even though there are linear ization schemes, they are subject to large errors in representing the phenomenon.
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Cited by
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Chiang, M., Low, S. H., Calderbank, A. R., & Doyle, J. C. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887322 · Cited by 1,352
Distributed average consensus with least-mean-square deviation
Xiao, L., Boyd, S., & Kim, S.-J. (2007) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2006.08.010 · Cited by 1,107
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Acikmese, B., & Ploen, S. R. (2007) · Journal of Guidance, Control, and Dynamics · doi:10.2514/1.27553 · Cited by 697
SVD based initialization: A head start for nonnegative matrix factorization
Boutsidis, C., & Gallopoulos, E. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2007.09.010 · Cited by 695
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Metadata
- Venue
- Electric Power System Applications of Optimization
- Publisher
- CRC Press
- Published
- 2000-12-19
- Pages
- 245-272
- OpenAlex
- W4244633107
- Cited by
- 908
- References
- 0
- FWCI
- 13.99
- Type
- book chapter
- Language
- en
- Open access
- closed
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