Add to ORKGSeveral computer vision problems lead to linear systems affected by noise. These are commonly solved...
abstract: longley's data set is used as a basis for the following projects: firstly, to assess the n...
Linear least squares (LLS) is a classical linear algebra problem in scientific computing, arising fo...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
Methods are given for computing the covariance matrix for the solution vector of an equality-constra...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Least squares technique and curve fitting subroutine for backscatter data analysi
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Least squares parameter estimation algorithms for nonlinear systems are investigated based on a nonl...
In this work we study the least squares and the total least squares problem for the solution of line...
A data reduction method for computing effect of additional observation on previous least-squares est...
This thesis is a computational study of recently developed algorithms which aim to overcome degenera...
AbstractA comparison for a range of linear equation problems Ax = b between LINSYS, IBMSSP and IMSL ...
Several computer vision problems lead to linear systems affected by noise. These are commonly solved...
abstract: longley's data set is used as a basis for the following projects: firstly, to assess the n...
Linear least squares (LLS) is a classical linear algebra problem in scientific computing, arising fo...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
Methods are given for computing the covariance matrix for the solution vector of an equality-constra...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Least squares technique and curve fitting subroutine for backscatter data analysi
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
Least squares parameter estimation algorithms for nonlinear systems are investigated based on a nonl...
In this work we study the least squares and the total least squares problem for the solution of line...
A data reduction method for computing effect of additional observation on previous least-squares est...
This thesis is a computational study of recently developed algorithms which aim to overcome degenera...
AbstractA comparison for a range of linear equation problems Ax = b between LINSYS, IBMSSP and IMSL ...
Several computer vision problems lead to linear systems affected by noise. These are commonly solved...
abstract: longley's data set is used as a basis for the following projects: firstly, to assess the n...
Linear least squares (LLS) is a classical linear algebra problem in scientific computing, arising fo...