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Extensions and applications of the Householder algorithm for solving linear least squares problems
Open accessAbstract
The mathematical and numerical least squares solution of a general linear system of equations is discussed. Perturbation and differentiability theorems for pseudoinverses are given. Computational procedures for calculating least squares solutions using orthonormal transformations, multiplying matrices by a matrix of orthonormal basis vectors for the null-space of a given matrix, sequential processing of data, and processing of block diagonal matrices form a partial list of numerical topics presented.
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Cited by
Beamforming: a versatile approach to spatial filtering
Van Veen, B. D., & Buckley, K. M. (1988) · IEEE ASSP Magazine · doi:10.1109/53.665 · Cited by 3,901
Perturbation theory for pseudo-inverses
Wedin, P.-Å. (1973) · BIT · doi:10.1007/bf01933494 · Cited by 346
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
- Hanson, R. J., & Lawson, C. L.
- Venue
- Mathematics of Computation
- Publisher
- American Mathematical Society (AMS)
- Published
- 1969
- Volume
- 23
- Issue
- 108
- Pages
- 787-812
- ISSN
- 0025-5718 (ISSN-L)
- 1088-6842
- OpenAlex
- W2093149052
- Cited by
- 158
- References
- 0
- FWCI
- 7.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Extensions and applications of the Householder algorithm for solving linear least squares problems. https://app.cochat.ai/papers/10.1090/s0025-5718-1969-0258258-9
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- Hanson, R. J., & Lawson, C. L. (1969). Extensions and applications of the Householder algorithm for solving linear least squares problems. Mathematics of Computation. https://doi.org/10.1090/s0025-5718-1969-0258258-9
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