Cited by 7,103Matrix Theory and AlgorithmsStatistical and numerical algorithmsAdvanced Optimization Algorithms Research

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Solving Least Squares Problems

Lawson, Charles L., Hanson, Richard J.·1995·Society for Industrial and Applied Mathematics eBooks

DOI 10.1137/1.9781611971217

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Authors: Lawson, C. L., & Hanson, R. J.
Affiliations: California Institute of Technology (US)
Venue: Society for Industrial and Applied Mathematics eBooks
Publisher: Society for Industrial and Applied Mathematics
Published: 1995-01-01
DOI: 10.1137/1.9781611971217
OpenAlex: W2075665712
Cited by: 7,103
References: 0
Citations by year: 2026: 111 · 2025: 129 · 2024: 154 · 2023: 165 · 2022: 183 · 2021: 224 · 2020: 217 · 2019: 237 · 2018: 250 · 2017: 216 · 2016: 210 · 2015: 241 · 2014: 270 · 2013: 265 · 2012: 237
FWCI: 45.68
Type: book
Language: en
Open access: closed
Locations: Society for Industrial and Applied Mathematics eBooks (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
Topics: Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
Keywords: least-squares problems, linear least squares, nonlinear least squares, numerical linear algebra, iterative methods, singular value decomposition, QR decomposition, condition number, ill-conditioned problems

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