AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a determinantal form, which reduces to Cramer's rule if A is nonsingular
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...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
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...
AbstractA recent “Cramer rule” for obtaining the least-norm solution of a consistent system of linea...
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 obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A...
AbstractWe derive an explicit determinantal formula for the least squares solution of an overdetermi...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
AbstractA Cramer rule for finding the unique solution x ∈ R(Ak) of singular equations Ax=b [Ind(A) =...
AbstractWe consider the linear matrix equation AX+YB=C where A,B, and C are given matrices of dimens...
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...
AbstractThe least (Euclidean-) norm solution of a consistent linear equation Ax = b is given a deter...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
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...
AbstractA recent “Cramer rule” for obtaining the least-norm solution of a consistent system of linea...
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 obtain an explicit representation of the {2}-inverse AT,S(2) of a matrix A...
AbstractWe derive an explicit determinantal formula for the least squares solution of an overdetermi...
Following Mulmuley’s Lemma, this paper presents a generalization of the Moore–Penrose Inverse for a ...
AbstractA Cramer rule for finding the unique solution x ∈ R(Ak) of singular equations Ax=b [Ind(A) =...
AbstractWe consider the linear matrix equation AX+YB=C where A,B, and C are given matrices of dimens...
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...
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