Numerical Solution of Linear Least Squares Problems

Larisa Beilina (), Evgenii Karchevskii and Mikhail Karchevskii
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Larisa Beilina: Chalmers University of Technology and University of Gothenburg, Department of Mathematical Sciences
Evgenii Karchevskii: Kazan Federal University, Department of Applied Mathematics
Mikhail Karchevskii: Kazan Federal University, Department of Computational Mathematics

Chapter Chapter 9 in Numerical Linear Algebra: Theory and Applications, 2017, pp 291-343 from Springer

Abstract: Abstract In this chapter we present methods for numerical solution of linear least squares problems. These problems arise in many real-life applications such that curve fitting, statistical modelling and different inverse problems, when some model function should be fitted to the measured data.

Keywords: LINEAR LEAST SQUARES PROBLEMS; Modified Gram-Schmidt (MGS); Classical Gram-Schmidt (CGS); Householder Transformations; Householder Reflections (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-57304-5_9

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DOI: 10.1007/978-3-319-57304-5_9

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