Add to ORKGUsing a simple trigonometric limit, we provide an intuitive geometric proof of th
AbstractIt is shown how to generalize the ordinary singular value decomposition of a matrix into a c...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractThe solution of the linear matrix equations (i) AXB+CYD=E and (ii) (AXB, FXG)=(E, H) are con...
The Singular Value Decomposition (SVD) is very well known. We provide an intuitive proof for real ma...
We give a very short proof of the main result of J. Benitez, A new decomposition for square matrices...
Let A be an m x n matrix with m greater than or equal to n. Then one form of the singular-value deco...
We shall consider a form of matrix factorization known as singular value decomposition (SVD) that is...
The singular value decomposition is a factorization of a matrix A into A=U.EV^TComponente Curricular...
We show the uniqueness and construction (of the Z matrix in Theorem 1, to be exact) of a matrix deco...
This essay will present a self-contained exposition of the singular value decomposition theorem for ...
SIGLEAvailable from British Library Document Supply Centre- DSC:8724.9(UNUT-CL-TRS--365) / BLDSC - B...
The singular value decomposition in the extended max algebra is an extended linear complementarity p...
10.1137/S0895479898346983SIAM Journal on Matrix Analysis and Applications222580-60
orem which states that an arbitrary square matrixM over an algebraically closed field can be decompo...
AbstractIt is known that any matrix can be decomposed into a diagonalizable part and a nilpotent par...
AbstractIt is shown how to generalize the ordinary singular value decomposition of a matrix into a c...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractThe solution of the linear matrix equations (i) AXB+CYD=E and (ii) (AXB, FXG)=(E, H) are con...
The Singular Value Decomposition (SVD) is very well known. We provide an intuitive proof for real ma...
We give a very short proof of the main result of J. Benitez, A new decomposition for square matrices...
Let A be an m x n matrix with m greater than or equal to n. Then one form of the singular-value deco...
We shall consider a form of matrix factorization known as singular value decomposition (SVD) that is...
The singular value decomposition is a factorization of a matrix A into A=U.EV^TComponente Curricular...
We show the uniqueness and construction (of the Z matrix in Theorem 1, to be exact) of a matrix deco...
This essay will present a self-contained exposition of the singular value decomposition theorem for ...
SIGLEAvailable from British Library Document Supply Centre- DSC:8724.9(UNUT-CL-TRS--365) / BLDSC - B...
The singular value decomposition in the extended max algebra is an extended linear complementarity p...
10.1137/S0895479898346983SIAM Journal on Matrix Analysis and Applications222580-60
orem which states that an arbitrary square matrixM over an algebraically closed field can be decompo...
AbstractIt is known that any matrix can be decomposed into a diagonalizable part and a nilpotent par...
AbstractIt is shown how to generalize the ordinary singular value decomposition of a matrix into a c...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractThe solution of the linear matrix equations (i) AXB+CYD=E and (ii) (AXB, FXG)=(E, H) are con...