AbstractUnder the Golub–Van Loan condition for the existence and uniqueness of the scaled total least squares (STLS) solution, a first order perturbation estimate for the STLS solution and upper bounds for condition numbers of a STLS problem have been derived by Zhou et al. recently. In this paper, a different perturbation analysis approach for the STLS solution is presented. The analyticity of the solution to the perturbed STLS problem is explored and a new expression for the first order perturbation estimate is derived. Based on this perturbation estimate, for some STLS problems with linear structure we further study the structured condition numbers and derive estimates for them. Numerical experiments show that the structured condition nu...
In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2...
Let A be a real m by n matrix, and b a real m-vector. Consider estimating x from an orthogonally inv...
The main result of this paper is the formulation of an explicit expression for the condition number ...
AbstractIn this note, we present two results on the scaled total least squares problem. First, we di...
The Total Least Squares solution of an overdetermined, approximate linear equation Ax approx b minim...
AbstractIn this paper, an improved algorithm PTLS for solving total least squares (TLS) problems AX ...
AbstractThe total least squares (TLS) method is a successful approach for linear problems when not o...
AbstractThe stabilized versions of the least squares (LS) and total least squares (TLS) methods are ...
AbstractIt is shown how structured and weighted total least squares and L2 approximation problems le...
AbstractThe Partial Total Least Squares (PTLS) subroutine solves the Total Least Squares (TLS) probl...
We derive closed formulas for the condition number of a linear function of the total least squares s...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
In this paper, we study the scaled total least squares problems of rank-deficient linear systems. We...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Abstract. In this paper we are interested in computing linear least squares (LLS) condition numbers ...
In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2...
Let A be a real m by n matrix, and b a real m-vector. Consider estimating x from an orthogonally inv...
The main result of this paper is the formulation of an explicit expression for the condition number ...
AbstractIn this note, we present two results on the scaled total least squares problem. First, we di...
The Total Least Squares solution of an overdetermined, approximate linear equation Ax approx b minim...
AbstractIn this paper, an improved algorithm PTLS for solving total least squares (TLS) problems AX ...
AbstractThe total least squares (TLS) method is a successful approach for linear problems when not o...
AbstractThe stabilized versions of the least squares (LS) and total least squares (TLS) methods are ...
AbstractIt is shown how structured and weighted total least squares and L2 approximation problems le...
AbstractThe Partial Total Least Squares (PTLS) subroutine solves the Total Least Squares (TLS) probl...
We derive closed formulas for the condition number of a linear function of the total least squares s...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
In this paper, we study the scaled total least squares problems of rank-deficient linear systems. We...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Abstract. In this paper we are interested in computing linear least squares (LLS) condition numbers ...
In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2...
Let A be a real m by n matrix, and b a real m-vector. Consider estimating x from an orthogonally inv...
The main result of this paper is the formulation of an explicit expression for the condition number ...