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ORCIDÅke Björck
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2010 – 2019
- 2014
[j6]Åke Björck:
Stability of Two Direct Methods for Bidiagonalization and Partial Least Squares. SIAM J. Matrix Anal. Appl. 35(1): 279-291 (2014)- 2013
- [j5]Steven J. Leon, Åke Björck, Walter Gander:
Gram-Schmidt orthogonalization: 100 years and more. Numer. Linear Algebra Appl. 20(3): 492-532 (2013)
2000 – 2009
- 2009
- [r1]Åke Björck:
Least Squares Problems. Encyclopedia of Optimization 2009: 1856-1866 - 2007
- [p2]Åke Björck:
Commentary. Milestones in Matrix Computation 2007: 129-147 - [p1]Åke Björck, Gene H. Golub:
Numerical methods for computing angles between linear subspaces. Milestones in Matrix Computation 2007: 292-308 - 2000
- [j4]Mikael Adlers, Åke Björck:
Matrix stretching for sparse least squares problems. Numer. Linear Algebra Appl. 7(2): 51-65 (2000) - [j3]Åke Björck, Pinar Heggernes
, P. Matstoms:
Methods for Large Scale Total Least Squares Problems. SIAM J. Matrix Anal. Appl. 22(2): 413-429 (2000)
1990 – 1999
- 1996
- [b1]Åke Björck:
Numerical methods for least square problems. SIAM 1996, ISBN 978-0-89871-360-2, pp. I-XVII, 1-408 - [j2]Steve S. Niu, Lennart Ljung, Åke Björck:
Decomposition methods for solving least-squares parameter estimation. IEEE Trans. Signal Process. 44(11): 2847-2852 (1996) - 1992
- [j1]Åke Björck, Christopher C. Paige:
Loss and Recapture of Orthogonality in the Modified Gram-Schmidt Algorithm. SIAM J. Matrix Anal. Appl. 13(1): 176-190 (1992)
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