Loss and Recapture of Orthogonality in the Modified Gram-Schmidt Algorithm. - Åke Björck; Christopher C. Paige (SIAM J. Matrix Anal. Appl., 1992)

Accurate Downdating of Least Squares Solutions. - Åke Björck; Haesun Park; Lars Eldén (SIAM J. Matrix Anal. Appl., 1994)

Numerical methods for least square problems. - Åke Björck (SIAM, 1996)

Decomposition methods for solving least-squares parameter estimation. - Steve S. Niu; Lennart Ljung; Åke Björck (IEEE Trans. Signal Process., 1996)

Stability of Conjugate Gradient and Lanczos Methods for Linear Least Squares Problems. - Åke Björck; Tommy Elfving; Zdenek Strakos (SIAM J. Matrix Anal. Appl., 1998)

Matrix stretching for sparse least squares problems. - Mikael Adlers; Åke Björck (Numer. Linear Algebra Appl., 2000)

Methods for Large Scale Total Least Squares Problems. - Åke Björck; Pinar Heggernes; P. Matstoms (SIAM J. Matrix Anal. Appl., 2000)

Commentary. - Åke Björck (Milestones in Matrix Computation, 2007)

Numerical methods for computing angles between linear subspaces. - Åke Björck; Gene H. Golub (Milestones in Matrix Computation, 2007)

Least Squares Problems. - Åke Björck (Encyclopedia of Optimization, 2009)

Gram-Schmidt orthogonalization: 100 years and more. - Steven J. Leon; Åke Björck; Walter Gander (Numer. Linear Algebra Appl., 2013)

Stability of Two Direct Methods for Bidiagonalization and Partial Least Squares. - Åke Björck (SIAM J. Matrix Anal. Appl., 2014)