Analytical bounds on least squares and total least squares methods for the linear prediction problem. - Ricardo D. Fierro; Kung Yao (ICASSP (4), 1993)

The Total Least Squares Problem: Computational Aspects and Analysis (S. Van Huffel and J. Vandewalle). - Ricardo D. Fierro (SIAM Rev., 1993)

Collinearity and Total Least Squares. - Ricardo D. Fierro; James R. Bunch (SIAM J. Matrix Anal. Appl., 1994)

Orthogonal projection and total least squares. - Ricardo D. Fierro; James R. Bunch (Numer. Linear Algebra Appl., 1995)

Bounding the Subspaces from Rank Revealing Two-Sided Orthogonal Decompositions. - Ricardo D. Fierro; James R. Bunch (SIAM J. Matrix Anal. Appl., 1995)

Low-rank Orthogonal Decompositions for Information Retrieval Applications. - Michael W. Berry; Ricardo D. Fierro (Numer. Linear Algebra Appl., 1996)

Perturbation Analysis for Two-Sided (or Complete) Orthogonal Decompositions. - Ricardo D. Fierro (SIAM J. Matrix Anal. Appl., 1996)

Low-rank revealing UTV decompositions. - Ricardo D. Fierro; Per Christian Hansen (Numer. Algorithms, 1997)

Regularization by Truncated Total Least Squares. - Ricardo D. Fierro; Gene H. Golub; Per Christian Hansen; Dianne P. O'Leary (SIAM J. Sci. Comput., 1997)

UTV Tools: Matlab templates for rank-revealing UTV decompositions. - Ricardo D. Fierro; Per Christian Hansen; Peter Søren Kirk Hansen (Numer. Algorithms, 1999)

Lanczos, Householder transformations, and implicit deflation for fast and reliable dominant singular subspace computation. - Ricardo D. Fierro (Numer. Linear Algebra Appl., 2001)

UTV Expansion Pack: Special-purpose rank-revealing algorithms. - Ricardo D. Fierro; Per Christian Hansen (Numer. Algorithms, 2005)

Lanczos and the Riemannian SVD in information retrieval applications. - Ricardo D. Fierro; Eric P. Jiang (Numer. Linear Algebra Appl., 2005)