The DOI matches its Crossref record.
Optimization Theory and Methods
Abstract
This book, a result of the author's teaching and research experience in various universities and institutes over the past ten years, can be used as a textbook for an optimization course for graduates and senior undergraduates. It systematically describes optimization theory and several powerful methods, including recent results. For most methods, the authors discuss an idea’s motivation, study the derivation, establish the global and local convergence, describe algorithmic steps, and discuss the numerical performance. The book deals with both theory and algorithms of optimization concurrently. It also contains an extensive bibliography. Finally, apart from its use for teaching, Optimization Theory and Methods will be very beneficial as a research reference.
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Citations
Cited by
Kalman filtering with state constraints: a survey of linear and nonlinear algorithms
Simon, D. (2010) · IET Control Theory & Applications · doi:10.1049/iet-cta.2009.0032 · Cited by 890
A feasible method for optimization with orthogonality constraints
Wen, Z., & Yin, W. (2013) · Mathematical Programming · doi:10.1007/s10107-012-0584-1 · Cited by 849
Kiourti, A., & Nikita, K. S. (2012) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2012.2201078 · Cited by 337
Ouyang, R. W., Wong, A. K.-S., & Lea, C.-T. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2040096 · Cited by 285
Wen, Z., Yin, W., Goldfarb, D., & Zhang, Y. (2010) · SIAM Journal on Scientific Computing · doi:10.1137/090747695 · Cited by 280
Metadata
- Venue
- Springer Optimization and Its Applications
- Publisher
- Kluwer Academic Publishers
- Published
- 2006
- OpenAlex
- W2471988522
- Cited by
- 617
- References
- 0
- FWCI
- 11.72
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Optimization Theory and Methods. https://app.cochat.ai/papers/10.1007/b106451
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- Optimization Theory and Methods. (2006). Springer Optimization and Its Applications. https://doi.org/10.1007/b106451
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.
