Abstract
Many numerical methods used in application areas such as signal processing, estimation, and control are based on the singular value decomposition (SVD) of matrices. The SVD is widely used in least squares estimation, systems approximations, and numerical linear algebra.
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© 1994 Springer-Verlag London Limited
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Helmke, U., Moore, J.B. (1994). Singular Value Decomposition. In: Optimization and Dynamical Systems. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-3467-1_3
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DOI: https://doi.org/10.1007/978-1-4471-3467-1_3
Publisher Name: Springer, London
Print ISBN: 978-1-4471-3469-5
Online ISBN: 978-1-4471-3467-1
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