A criterion for truncation of theQR-decomposition algorithm for the singular linear least squares problem-Reference-Cited by-同舟云学术

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A criterion for truncation of theQR-decomposition algorithm for the singular linear least squares problem

Published:1974-06 Issue:2 Volume:14 Page:156-166
ISSN:0006-3835
Container-title:BIT
language:en
Short-container-title:BIT

Author:

Karasalo Ilkka

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01932945.pdf

Reference4 articles.

1. D. K. Faddeev, W. N. Kublanovskaja, W. N. Faddeeva,Solution of linear algebraic systems with rectangular matrices, Proc Steklov Inst Math 96 (1968).

2. P.-Å. Wedin,On pseudoinverses of perturbed matrices, Lund University, Department of Computer Sciences, May 1969.

3. Å. Björck,Solving linear least squares problems by Gram-Schmidt orthogonalization, BIT 7 (1967), 1–21.

4. J. H. Wilkinson,The algebraic eigenvalue problem, Clarendon Press, Oxford 1965.

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1. Fast and Stable Polynomial Equation Solving and Its Application to Computer Vision;International Journal of Computer Vision;2009-04-11

2. Rank-Revealing QR Factorizations and the Singular Value Decomposition;Mathematics of Computation;1992-01

3. Rank-revealing factorizations and the singular value decomposition;Mathematics of Computation;1992

4. Incremental Condition Estimation;SIAM Journal on Matrix Analysis and Applications;1990-04

5. Least squares methods;Handbook of Numerical Analysis Volume 1;1990

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