Add to ORKGNumerical tests are used to validate a practical estimate for the optimal backward errors of linear least squares problems. This solves a thirty-year-old problem suggested by Stewart and Wilkinson
In this work we study the least squares and the total least squares problem for the solution of line...
We present an analytic solution to the past input reconstruc-tion problem, which consists in describ...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Numerical tests are used to validate a practical estimate for the optimal backward errors of linear...
Numerical tests are used to validate a practical estimatefor the optimal backward errors of linear l...
. Recently, Higham and Wald'en, Karlson, and Sun have provided formulas for computing the best ...
This thesis is concerned with backward perturbation analyses of the linear least squares (LS) and re...
We derive an upper bound on the normwise backward error of an approximate solution to the equality c...
Because of the special structure of the equations AX-XB=C the usual relation for linear equations "b...
International audienceIn this paper we are interested in computing linear least squares (LLS) condit...
Because of the special structure of the equations $AX-XB=C$ the usual relation for linear equations...
It is known that the computed least squares solution x of Ax=b, in the presence of the round-off err...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
In this thesis we consider error estimates for a family of iterative algorithms for solving the leas...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
In this work we study the least squares and the total least squares problem for the solution of line...
We present an analytic solution to the past input reconstruc-tion problem, which consists in describ...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Numerical tests are used to validate a practical estimate for the optimal backward errors of linear...
Numerical tests are used to validate a practical estimatefor the optimal backward errors of linear l...
. Recently, Higham and Wald'en, Karlson, and Sun have provided formulas for computing the best ...
This thesis is concerned with backward perturbation analyses of the linear least squares (LS) and re...
We derive an upper bound on the normwise backward error of an approximate solution to the equality c...
Because of the special structure of the equations AX-XB=C the usual relation for linear equations "b...
International audienceIn this paper we are interested in computing linear least squares (LLS) condit...
Because of the special structure of the equations $AX-XB=C$ the usual relation for linear equations...
It is known that the computed least squares solution x of Ax=b, in the presence of the round-off err...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
In this thesis we consider error estimates for a family of iterative algorithms for solving the leas...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
In this work we study the least squares and the total least squares problem for the solution of line...
We present an analytic solution to the past input reconstruc-tion problem, which consists in describ...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...