SIAM Journal on Matrix Analysis and Applications
Krylov subspace methods for solving large Lyapunov equations
SIAM Journal on Numerical Analysis
Extended Krylov Subspaces: Approximation of the Matrix Square Root and Related Functions
SIAM Journal on Matrix Analysis and Applications
A New Iterative Method for Solving Large-Scale Lyapunov Matrix Equations
SIAM Journal on Scientific Computing
On the numerical solution of large-scale sparse discrete-time Riccati equations
Advances in Computational Mathematics
Hi-index | 7.29 |
In the present paper, we present block Arnoldi-based methods for the computation of low rank approximate solutions of large discrete-time algebraic Riccati equations (DARE). The proposed methods are projection methods onto block or extended block Krylov subspaces. We give new upper bounds for the norm of the error obtained by applying these block Arnoldi-based processes. We also introduce the Newton method combined with the block Arnoldi algorithm and present some numerical experiments with comparisons between these methods.