Eigenvector-free solutions to \(AX = B\) with \(PX = XP\) and \(X^H = sX\) constraints
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Publication:628932
DOI10.1016/j.amc.2010.12.043zbMath1221.15025OpenAlexW2001513168MaRDI QIDQ628932
Publication date: 8 March 2011
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2010.12.043
numerical examplesmatrix equationsMoore-Penrose inverseoptimal approximationeigenvalue decompositionconstrained problemeigenvalue-free formulas
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Cites Work
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- The skew-symmetric orthogonal solutions of the matrix equation \(AX=B\)
- On the symmetric solutions of linear matrix equations
- The generalized reflexive solution for a class of matrix equations \( (AX=B, XC=D)\)
- Singular value and generalized singular value decompositions and the solution of linear matrix equations
- On the symmetric solutions of a linear matrix equation
- Backward perturbation analysis of certain characteristic subspaces
- The reflexive and anti-reflexive solutions of the matrix equation \(AX=B\).
- The inverse eigenvalue problem for Hermitian anti-reflexive matrices and its approximation
- The matrix equations \(AX=B, XC=D\) with \(PX= sXP\) constraint
- Computing the Generalized Singular Value Decomposition
- A Matrix Decomposition Method for Orthotropic Elasticity Problems
- Towards a Generalized Singular Value Decomposition
- Generalized Reflexive Matrices: Special Properties and Applications
- A Chart of Backward Errors for Singly and Doubly Structured Eigenvalue Problems
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