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Bounds for the least squares distance using scaled total least squares.

, and . Numerische Mathematik, 91 (1): 93-115 (2002)

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LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares., and . ACM Trans. Math. Softw., 8 (1): 43-71 (1982)Modified Gram-Schmidt (MGS), Least Squares, and Backward Stability of MGS-GMRES., , and . SIAM J. Matrix Anal. Appl., 28 (1): 264-284 (2006)The Effects of Loss of Orthogonality on Large Scale Numerical Computations.. ICCSA (3), volume 10962 of Lecture Notes in Computer Science, page 429-439. Springer, (2018)MINRES-QLP: A Krylov Subspace Method for Indefinite or Singular Symmetric Systems., , and . SIAM J. Sci. Comput., 33 (4): 1810-1836 (2011)Perturbation Analyses for the Cholesky Downdating Problem., and . SIAM J. Matrix Anal. Appl., 19 (2): 429-443 (April 1998)Scaled total least squares fundamentals., and . Numerische Mathematik, 91 (1): 117-146 (2002)Hessenberg Matrix Properties and Ritz Vectors in the Finite-Precision Lanczos Tridiagonalization Process., and . SIAM J. Matrix Anal. Appl., 32 (4): 1079-1094 (2011)Loss and Recapture of Orthogonality in the Modified Gram-Schmidt Algorithm., and . SIAM J. Matrix Anal. Appl., 13 (1): 176-190 (1992)Bounds for the least squares distance using scaled total least squares., and . Numerische Mathematik, 91 (1): 93-115 (2002)Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems., and . ACM Trans. Math. Softw., 8 (2): 195-209 (1982)