Four methods for the least squares solution of overdetermined systems of linear equations are compared from the point of view of preservation of sparsity. Conclusions are drawn principally from the results of numerical experiments, and favour the methods of Peters & Wilkinson (1970) and an augmented matrix approach suggested by Hachtel (private communication). 1
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
A new numerical method for the least square solutions of nonlinear equation systems has b...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
Abstract. We show that the well-known least squares (LS) solution of an overdetermined system of lin...
AbstractAn algorithm for computing solutions of overdetermined systems of linear equations in n real...
This monograph is concerned with overdetermined systems, inconsistent systems with more equations th...
The purpose of this paper is to investigate a few of the more popular methods for finding the soluti...
In this work we study the least squares and the total least squares problem for the solution of line...
In most problems in mathematics, science, engineering, and economics it is sufficient to find an equ...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In this paper, we prove a new identity for the least-square solution of an over-determined set of li...
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 ...
AbstractWe develop successive overrelaxation (SOR) methods for finding the least squares solution of...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
A new numerical method for the least square solutions of nonlinear equation systems has b...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
Abstract. We show that the well-known least squares (LS) solution of an overdetermined system of lin...
AbstractAn algorithm for computing solutions of overdetermined systems of linear equations in n real...
This monograph is concerned with overdetermined systems, inconsistent systems with more equations th...
The purpose of this paper is to investigate a few of the more popular methods for finding the soluti...
In this work we study the least squares and the total least squares problem for the solution of line...
In most problems in mathematics, science, engineering, and economics it is sufficient to find an equ...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In this paper, we prove a new identity for the least-square solution of an over-determined set of li...
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 ...
AbstractWe develop successive overrelaxation (SOR) methods for finding the least squares solution of...
In this paper, we address the accuracy of the results for the overdetermined full rank linear least ...
A new numerical method for the least square solutions of nonlinear equation systems has b...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...