AbstractIn this paper, we obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A∈Cm×n with the prescribed range T and null space S. As special cases, new expressions for the Moore–Penrose inverse A+ and Drazin inverse AD are derived. Through explicit expressions, we re-derive the condensed Cramer rules of Werner for minimal-norm least squares solution of linear equations Ax=b and propose two new condensed Cramer rules for the unique solution of a class of singular system Ax=b, x∈R(Ak), b∈R(Ak), k=Ind(A). Finally, condensed determinantal expressions for A+, AD, AA+, A+A, and AAD are also presented
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...
AbstractIn this paper, we establish the determinantal representations of the generalized inverses Ar...
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...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
The generalized inverse A T,S (2) of a matrix A is a {2}-inverse of A with the prescribed range T an...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
The generalized inverse A(2)T,S of a matrix A is a {2}-inverse of A with the prescribed range T and ...
The generalized inverse A(2)T,S of a matrix A is a {2}-inverse of A with the prescribed range T and ...
We investigate the determinantal representation by exploiting the limiting expression for the genera...
This paper presents the solution of a general constrained matrix equation using generalized inverses...
This paper presents the solution of a general constrained matrix equation using generalized inverses...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
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...
AbstractIn this paper, we establish the determinantal representations of the generalized inverses Ar...
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...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
In this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-squares s...
The generalized inverse A T,S (2) of a matrix A is a {2}-inverse of A with the prescribed range T an...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
The generalized inverse A(2)T,S of a matrix A is a {2}-inverse of A with the prescribed range T and ...
The generalized inverse A(2)T,S of a matrix A is a {2}-inverse of A with the prescribed range T and ...
We investigate the determinantal representation by exploiting the limiting expression for the genera...
This paper presents the solution of a general constrained matrix equation using generalized inverses...
This paper presents the solution of a general constrained matrix equation using generalized inverses...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
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...
AbstractIn this paper, we establish the determinantal representations of the generalized inverses Ar...