Fast computing of the Moore-Penrose inverse matrix.
Fast iterative methods for solving Toeplitz-plus-Hankel least squares problems.
Fast Toeplitz Orthogonalization.
Fehleranalyse für die Gauß-Elimination zur Berechnung der Lösung minimaler Länge.
Filter factors of truncated TLS regularization with multiple observations
The total least squares (TLS) and truncated TLS (T-TLS) methods are widely known linear data fitting approaches, often used also in the context of very ill-conditioned, rank-deficient, or ill-posed problems. Regularization properties of T-TLS applied to linear approximation problems were analyzed by Fierro, Golub, Hansen, and O’Leary (1997) through the so-called filter factors allowing to represent the solution in terms of a filtered pseudoinverse of applied to . This paper focuses on the situation...