An algorithm for computing positive definite solutions of the nonlinear matrix equationX + A*X−1A = I
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Publication:4467348
DOI10.1080/00207160310001603316zbMath1049.65033OpenAlexW2124588683MaRDI QIDQ4467348
Publication date: 9 June 2004
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160310001603316
algorithmconvergencenumerical experimentsiteration methodnonlinear matrix equationdiscrete-time algebraic Riccati matrix equationminimal positive definite solution
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Related Items (4)
Contractive maps on normed linear spaces and their applications to nonlinear matrix equations ⋮ Bauer's spectral factorization method for low order multiwavelet filter design ⋮ Some properties of the nonlinear matrix equation \(X^s + A^* X^{-t} A = Q\) ⋮ A new inversion-free method for a rational matrix equation
Cites Work
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- Necessary and sufficient conditions for the existence of a positive definite solution of the matrix equation \(X+A^*X^{-1}A=Q\)
- Some properties for the existence of a positive definite solution of matrix equation \(X+A^*X^{-2^m}A=I\)
- On the matrix equation \(X+A^ TX^{-1}A=I\)
- On an Iteration Method for Solving a Class of Nonlinear Matrix Equations
- Iterative solution of two matrix equations
- A two-sided iterative method for computing positive definite solutions of a nonlinear matrix equation
- On the existence of a positive definite solution of the matrix equation
- Computing the Extremal Positive Definite Solutions of a Matrix Equation
- Two iteration processes for computing positive definite solutions of the equation \(X-A^*X^{-n}A=Q\)
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