On the ADI method for Sylvester equations
Journal of Computational and Applied Mathematics
Extended Krylov subspace for parameter dependent systems
Applied Numerical Mathematics
An invariant subspace method for large-scale algebraic Riccati equation
Applied Numerical Mathematics
Extended Arnoldi methods for large low-rank Sylvester matrix equations
Applied Numerical Mathematics
Krylov Subspace Methods for Linear Systems with Tensor Product Structure
SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications
On the numerical solution of large-scale sparse discrete-time Riccati equations
Advances in Computational Mathematics
Block Arnoldi-based methods for large scale discrete-time algebraic Riccati equations
Journal of Computational and Applied Mathematics
Krylov subspace methods for projected Lyapunov equations
Applied Numerical Mathematics
A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations
SIAM Journal on Matrix Analysis and Applications
Analysis of the Rational Krylov Subspace and ADI Methods for Solving the Lyapunov Equation
SIAM Journal on Numerical Analysis
On the ADI method for the Sylvester equation and the optimal-H2 points
Applied Numerical Mathematics
Large-scale Stein and Lyapunov equations, Smith method, and applications
Numerical Algorithms
Computers & Mathematics with Applications
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In this paper we propose a new projection method to solve large-scale continuous-time Lyapunov matrix equations. The new approach projects the problem onto a much smaller approximation space, generated as a combination of Krylov subspaces in $A$ and $A^{-1}$. The reduced problem is then solved by means of a direct Lyapunov scheme based on matrix factorizations. The reported numerical results show the competitiveness of the new method, compared to a state-of-the-art approach based on the factorized alternating direction implicit iteration.