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Two numerical methods that converge to the method of least squares

✍ Scribed by Henry L. Langhaar

Publisher
Elsevier Science
Year
1969
Tongue
English
Weight
625 KB
Volume
288
Category
Article
ISSN
0016-0032

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✦ Synopsis

For approximation problems involving residuals that are linear functions of the parameters, it is shown that the collocation approximation approaches the least-squares approximation

πŸ“œ SIMILAR VOLUMES

Convergence properties of the generalise
Convergence properties of the generalised least squares identitication method
✍ Torsten SΓΆderstrΓΆm πŸ“‚ Article πŸ“… 1974 πŸ› Elsevier Science 🌐 English βš– 816 KB

Generalized least squares identification may be interpreted as a loss .function minimization, but more than one local minimum may exist, depending on the signal to noise ratio, and undesired estimates can result. Summary--Convergence properties of the generalized least squares method are analyzed.