Applied Mathematicsematics

Download e-book for iPad: Algorithms for a partially regularized least squares problem by Ingegerd Skoglund.

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By Ingegerd Skoglund.

ISBN-10: 918583193X

ISBN-13: 9789185831937

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Cambridge University Press, Cambridge, 1994. [3] Å. Björck. Numerical Methods for Least Squares Problems. SIAM, Philadelphia, 1996. [4] Å. Björck T. Elfving and Z. Strakos. Stability of conjugate gradient and Lanczos methods for linear least squares problems. SIAM Journal on Matrix Analysis and Applications, 19:720–736, 1998. [5] Å. Björck. The calculation of linear least squares problems. Acta Numerica, 13:1–53, 2004. A. Girard. A fast ’Monte-Carlo cross-validation’ procedure for large least squares problems with noisy data.

10:177–183, 1967. Numerische Mathematik, 19 “lic” — 2007/4/23 — 11:29 — page 20 — #32 [13] P. Stålnacke and A. Grimvall. Semiparametric approaches to flownormalisation and source apportionment of substances transport in rivers. Environmetrics, 12:233–250, 2001.

Girard. A fast ’Monte-Carlo cross-validation’ procedure for large least squares problems with noisy data. Numerische Mathematik, 56:1–23, 1989. H. T. Heath and G. Wahba. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21:215–223, 1979. H. F. Van Loan. Matrix Computaions. , Johns Hopkins University Press, Baltimore, 1996. J. W. Silverman. Nonparametric regression and generalized linear models - a roughness penalty approach. Chapman & Hill, London, 1994.

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Algorithms for a partially regularized least squares problem by Ingegerd Skoglund.


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