AbstractA recent “Cramer rule” for obtaining the least-norm solution of a consistent system of linear equations Ax = b is shown to also provide the least-squared-error solution in the inconsistent case, i.e. the solution A + b where A + is the Moore-Penrose inverse of A
AbstractAn algorithm for computing solutions of overdetermined systems of linear equations in n real...
International audienceUdwadia and Kalaba have obtained explicit equations for the motion of discrete...
In this paper, we study the Moore-Penrose inverse of a symmetric rank-one perturbed matrix from whic...
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 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...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
In this paper we define and study about The Moore Penrose Inverse of any matrices under the rank. We...
We employ the generalized inverse matrix of Moore-Penrose to study the existence and uniqueness of t...
Abstract. A system of linear equations Ax = b, in n unknowns and m equations which has a nonnegative...
International audienceWith the help of elementary results and techniques from Real Analysis and Opti...
International audienceWith the help of elementary results and techniques from Real Analysis and Opti...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
AbstractAn algorithm for computing solutions of overdetermined systems of linear equations in n real...
International audienceUdwadia and Kalaba have obtained explicit equations for the motion of discrete...
In this paper, we study the Moore-Penrose inverse of a symmetric rank-one perturbed matrix from whic...
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 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...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
Linear ordinary/partial differential equations (DEs) with linear boundary conditions (BCs) are posed...
In this paper we define and study about The Moore Penrose Inverse of any matrices under the rank. We...
We employ the generalized inverse matrix of Moore-Penrose to study the existence and uniqueness of t...
Abstract. A system of linear equations Ax = b, in n unknowns and m equations which has a nonnegative...
International audienceWith the help of elementary results and techniques from Real Analysis and Opti...
International audienceWith the help of elementary results and techniques from Real Analysis and Opti...
AbstractIn this paper, we will derive the condensed Cramer’s rule of Werner for minimal-norm least-s...
AbstractAn algorithm for computing solutions of overdetermined systems of linear equations in n real...
International audienceUdwadia and Kalaba have obtained explicit equations for the motion of discrete...
In this paper, we study the Moore-Penrose inverse of a symmetric rank-one perturbed matrix from whic...
DOI
Add to ORKG