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The singular value decomposition: Its computation and some applications
Abstract
We provide a tutorial introduction to certain numerical computations both in linear algebra and linear systems in the context of bounded arithmetic. The essential characteristics of bounded arithmetic are discussed in an introductory section followed by a review of the fundamental concepts of numerical stability and conditioning. The singular value decomposition (SVD) is then presented along with some related comments on the numerical determination of rank. A variety of applications of the SVD in linear algebra and linear systems is then outlined. A final section discusses some details of the implementation of the SVD on a digital computer. An Appendix is provided which contains a number of useful illustrative example.
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Cites
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An eigensystem realization algorithm for modal parameter identification and model reduction
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Noisy intermediate-scale quantum algorithms
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Deng, B. L., Li, G., Han, S., Shi, L., & Xie, Y. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2976475 · Cited by 996
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Machine learning algorithms for wireless sensor networks: A survey
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Metadata
- Authors
- Klema, V., & Laub, A.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1980-04
- Volume
- 25
- Issue
- 2
- Pages
- 164-176
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2098502158
- Cited by
- 1,631
- References
- 20
- FWCI
- 30.38
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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