The matrix equation \(XA-BX=R\) and its applications
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Publication:1109847
DOI10.1016/0024-3795(88)90200-5zbMath0656.15006OpenAlexW2077639960MaRDI QIDQ1109847
Publication date: 1988
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0024-3795(88)90200-5
Related Items (12)
Perturbation theory and backward error for \(AX - XB = C\) ⋮ The matrix equation \(XA=A^ TX\) and an associated algorithm for solving the inertia and stability problems ⋮ Unique Full-Rank Solution of the Sylvester-Observer Equation and Its Application to State Estimation in Control Design ⋮ The linear bi-spatial tensor equation \(\varphi_{ij}A^iXB^j=C\) ⋮ Applications of linear transformations to matrix equations ⋮ Controllability and nonsingular solutions of Sylvester equations ⋮ Effective condition numbers and small sample statistical condition estimation for the generalized Sylvester equation ⋮ New integer-order approximations of discrete-time non-commensurate fractional-order systems using the cross Gramian ⋮ Mixed, componentwise condition numbers and small sample statistical condition estimation of Sylvester equations ⋮ Parallel and large-scale matrix computations in control: Some ideas ⋮ The ubiquitous Kronecker product ⋮ Linear and numerical linear algebra in control theory: Some research problems
Cites Work
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- On eigenvalue and canonical form assignments
- On the similarity transformation between a matrix and its transpose
- Lyapunov, Bézout, and Hankel
- The Lyapunov matric equation SA+A*S=S*B*BS
- Controllability, Bezoutian and relative primeness
- Controllability, observability and the solution of AX-XB=C
- An algorithm for computing powers of a Hessenberg matrix and its applications
- Nonsingular solutions of TA-BT=C
- On the effective computation of the inertia of a non-hermitian matrix
- Inertia theorems for matrices: the semidefinite case
- The method of symmetric and Hermitian forms in the theory of the separation of the roots of algebraic equations
- A Hessenberg-Schur method for the problem AX + XB= C
- Bezoutiants, Elimination and Localization
- Explicit Solutions of Linear Matrix Equations
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