AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares solution of linear equations Ax=b from the Cramer’s rule of Ben-Israel and Verghese. In addition, a new condensed Cramer’s rule will be obtained in this paper
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
This paper describes a new technique to find the minimum norm solution of a linear program. The main...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
In this paper, we obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A ∈ Cm×n ...
AbstractIn this paper, we obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A...
AbstractA recent “Cramer rule” for obtaining the least-norm solution of a consistent system of linea...
AbstractBased on the projection theorem in Hilbert space, by making use of the generalized singular ...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
AbstractA convergence theorem for J. W. Lee and P. M. Prenter's filtered least squares method for so...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
This paper describes a new technique to find the minimum norm solution of a linear program. The main...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
In this paper, we obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A ∈ Cm×n ...
AbstractIn this paper, we obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A...
AbstractA recent “Cramer rule” for obtaining the least-norm solution of a consistent system of linea...
AbstractBased on the projection theorem in Hilbert space, by making use of the generalized singular ...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
AbstractA convergence theorem for J. W. Lee and P. M. Prenter's filtered least squares method for so...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
In spite of its high computational cost, Cramer's Rule for solving systems of linear equations is of...
This paper describes a new technique to find the minimum norm solution of a linear program. The main...
Nonlinear least-squares problems appear in many real-world applications. When a nonlinear model is u...
DOI
Add to ORKG