A Computational Method for Symmetric Stein Matrix Equations
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Publication:2913168
DOI10.1007/978-94-007-0602-6_14zbMath1251.65059OpenAlexW2162562497MaRDI QIDQ2913168
Abderrahim Messaoudi, Khalide Jbilou
Publication date: 26 September 2012
Published in: Lecture Notes in Electrical Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-94-007-0602-6_14
numerical experimentsKrylov subspace methodglobal Arnoldi algorithmlow-rank approximate solutionssparse symmetric Stein matrix equation
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Related Items (5)
Computational Methods for Linear Matrix Equations ⋮ Factorized squared Smith method for large-scale Stein equations with high-rank terms ⋮ Stein-based preconditioners for weak-constraint 4D-var ⋮ Numerical methods for differential linear matrix equations via Krylov subspace methods ⋮ Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1—Philosophy, Features, and Application for (Parametric) Model Order Reduction
Cites Work
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- Iterative methods for \(X-AXB=C\)
- Global FOM and GMRES algorithms for matrix equations
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- Analysis of the convergence of the minimal and the orthogonal residual methods
- A Hessenberg-Schur method for the problem AX + XB= C
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- A numerical algorithm to solve<tex>A^{T}XA - X = Q</tex>
- Krylov Subspace Methods for Solving Large Lyapunov Equations
- A Cyclic Low-Rank Smith Method for Large Sparse Lyapunov Equations
- Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
- Matrix Equation $XA + BX = C$
- Inequalities between the Two Kinds of Eigenvalues of a Linear Transformation
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