The DOI matches its Crossref record.
Optimization by Vector Space Methods
Abstract
From the Publisher: Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.
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Citations
Cited by
An Algorithm for Vector Quantizer Design
Linde, Y., Buzo, A., & Gray, R. (1980) · IEEE Transactions on Communications · doi:10.1109/tcom.1980.1094577 · Cited by 7,201
Blanchini, F. (1999) · Automatica · doi:10.1016/s0005-1098(99)00113-2 · Cited by 2,390
On the Foundations of Relaxation Labeling Processes
Hummel, R. A., & Zucker, S. W. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767390 · Cited by 885
Ironing, Sweeping, and Multidimensional Screening
Rochet, J.-C., & Chone, P. (1998) · Econometrica · doi:10.2307/2999574 · Cited by 587
Iterative learning control for discrete-time systems with exponential rate of convergence
Amann, N., Owens, D. H., & Rogers, E. (1996) · IEE Proceedings - Control Theory and Applications · doi:10.1049/ip-cta:19960244 · Cited by 406
Metadata
- Venue
- Students Quarterly Journal
- Published
- 1970
- Volume
- 41
- Issue
- 162
- Pages
- 207
- ISSN
- 0039-2871 (ISSN-L)
- OpenAlex
- W1534416612
- Cited by
- 6,004
- References
- 0
- FWCI
- 73.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Optimization by Vector Space Methods. https://app.cochat.ai/papers/10.1049/sqj.1970.0088
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- Optimization by Vector Space Methods. (1970). Students Quarterly Journal. https://doi.org/10.1049/sqj.1970.0088
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.
