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Optimization Theory of Large Systems
Abstract
Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.
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Citations
Cited by
Parikh, N., & Boyd, S. (2014) · Foundations and Trends® in Optimization · doi:10.1561/2400000003 · Cited by 4,102
Branch-and-price: column generation for solving huge integer programs
Barnhart, C., Johnson, E. L., Nemhauser, G. L., Savelsbergh, M. W. P., & Vance, P. H. (1998) · Operations Research · doi:10.1287/opre.46.3.316 · Cited by 2,219
A tutorial on decomposition methods for network utility maximization
Palomar, D. P., & Chiang, M. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2006.879350 · Cited by 1,647
Trajectory planning for Bertha — A local, continuous method
Ziegler, J., Bender, P., Dang, T., & Stiller, C. (2014) · 2014 IEEE Intelligent Vehicles Symposium Proceedings · doi:10.1109/ivs.2014.6856581 · Cited by 443
MIMO Transceiver Design via Majorization Theory
Palomar, D. P., & Jiang, Y. (2007) · Foundations and Trends in Communications and Information Theory · doi:10.1561/0100000018 · Cited by 320
Metadata
- Authors
- Lasdon, L. S., & Tabak, D.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1971-07
- Volume
- SMC-1
- Issue
- 3
- Pages
- 300-301
- ISSN
- 0018-9472 (ISSN-L)
- 2168-2909
- OpenAlex
- W1481747975
- Cited by
- 1,677
- References
- 0
- FWCI
- 30.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lasdon, L. S., & Tabak, D. (1971). Optimization Theory of Large Systems. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/tsmc.1971.4308301
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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.