The author introduces a novel framework for solving large-scale Lyapunov matrix equations using low-rank-modified Galerkin methods to achieve similar convergence rates to minimal-residual schemes with lower computational costs.
Introducing a novel framework for low-rank-modified Galerkin methods to solve large-scale Lyapunov matrix equations efficiently.
Low-rank-modified Galerkin methods offer a cost-effective alternative to minimal-residual schemes for solving Lyapunov matrix equations.