Representations and cramer rules for the solution of a restricted Matrix Equation∗
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Publication:4271082
DOI10.1080/03081089308818266zbMath0787.15012OpenAlexW2046523735MaRDI QIDQ4271082
Publication date: 9 January 1994
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081089308818266
Related Items (8)
The re-nonnegative definite and re-positive definite solutions to the matrix equation \(AXB=D\) ⋮ Outer inverse restricted by a linear system ⋮ A simple method for solving matrix equations \(AXB = D\) and \(GXH = C\) ⋮ The Core-EP, Weighted Core-EP Inverse of Matrices and Constrained Systems of Linear Equations ⋮ Finite algorithms for the (2)-generalized inverse ⋮ Representation and approximation of the outer inverse \(A_{T,S}^{(2)}\) of a matrix \(A\) ⋮ Some simple criteria for the solvability of block \(2 \times 2\) linear systems ⋮ The core inverse and constrained matrix approximation problem
Cites Work
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- On g-inverses and the nonsingularity of a bordered matrix \(\begin{pmatrix} A&B\\ C&0\end{pmatrix}\)
- The generalized Bott-Duffin inverse and its applications
- A Cramer rule for minimum-norm (T) least-squares (S) solution of inconsistent linear equations
- A Cramer rule for finding the solution of a class of singular equations
- A Cramer rule for least-norm solutions of consistent linear equations
- A Cramer rule for the least-norm, least-squared-error solution of inconsistent linear equations
- Using Gauss-Jordan elimination to compute the index, generalized nullspaces, and Drazin inverse
- On extensions of Cramer's rule for solutions of restricted linear systems1
- A cramer rule for solution of the general restricted linear equation∗
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