In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size when the weight matrix is banded with bandwidth that is independent of the sample size
A multivariate structured total least squares problem is considered, in which the extended data matr...
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documen...
AbstractIn this paper, an improved algorithm PTLS for solving total least squares (TLS) problems AX ...
A class of structured total least squares problems is considered, in which the extended data matrix ...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
A multivariate structured total least squares problem is considered, in which the extended data matr...
Abstract. A structured total least squares problem is considered in which the extended data matrix i...
Mastronardi, Lemmerling, and van Huffel presented an algorithm for solving a total least squares pr...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
AbstractThe total least squares (TLS) method is a successful approach for linear problems when not o...
AbstractUnder the Golub–Van Loan condition for the existence and uniqueness of the scaled total leas...
AbstractIt is shown how structured and weighted total least squares and L2 approximation problems le...
AbstractIn a total least squares (TLS) problem, we estimate an optimal set of model parameters X, so...
We study the total least squares (TLS) problem that generalizes least squares regression by allowing...
A multivariate structured total least squares problem is considered, in which the extended data matr...
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documen...
AbstractIn this paper, an improved algorithm PTLS for solving total least squares (TLS) problems AX ...
A class of structured total least squares problems is considered, in which the extended data matrix ...
We review the development and extensions of the classical total least squares method and describe al...
We review the development and extensions of the classical total least squares method and describe al...
A multivariate structured total least squares problem is considered, in which the extended data matr...
Abstract. A structured total least squares problem is considered in which the extended data matrix i...
Mastronardi, Lemmerling, and van Huffel presented an algorithm for solving a total least squares pr...
Recent advances in total least squares approaches for solving various errors-in-variables modeling p...
AbstractThe total least squares (TLS) method is a successful approach for linear problems when not o...
AbstractUnder the Golub–Van Loan condition for the existence and uniqueness of the scaled total leas...
AbstractIt is shown how structured and weighted total least squares and L2 approximation problems le...
AbstractIn a total least squares (TLS) problem, we estimate an optimal set of model parameters X, so...
We study the total least squares (TLS) problem that generalizes least squares regression by allowing...
A multivariate structured total least squares problem is considered, in which the extended data matr...
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documen...
AbstractIn this paper, an improved algorithm PTLS for solving total least squares (TLS) problems AX ...