Small sample statistical condition estimation for the total least squares problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/article/10.1007/s11075-016-0185-9/fulltext.html
Reference34 articles.
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2. Baboulin, M., Gratton, S., Lacroix, R., Laub, A.: Efficient computation of condition estimates for linear least squares problems. In: Proceedings of the 10th International Conference on Parallel Processing and Applied Mathematics, PPAM 2013. Lecture Notes in Computer Science, vol. 8384, pp. 124–133. Springer-Verlag (2014)
3. Beck, A., Ben-Tal, A.: A global solution for the structured total least squares problem with block circulant matrices. SIAM J. Matrix Anal. Appl. 27, 238–255 (2005)
4. Beck, A., Eldar, Y.C., Ben-Tal, A.: Mean-squared error estimation for linear systems with block circulant uncertainty. SIAM J. Matrix Anal. Appl. 29, 712–730 (2007)
5. Björck, Å., Heggernes, P., Matstoms, P.: Methods for large scale total least squares problems. SIAM J. Matrix Anal. Appl. 22, 413–429 (2000)
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