This article is concerned with the efficient numerical solution of the Lyapunov equation A(T) X + XA = -C with a stable matrix A and a symmetric positive semidefinite matrix C of possibly small rank. We discuss the efficient implementation of Hammarling's method and propose among other algorithmic improvements a block variant, which is demonstrated to perform significantly better than existing implementations. An extension to the discrete-time Lyapunov equation A(T) XA - X = - C is also described
AbstractThe squared Smith method is adapted to solve large-scale discrete-time Lyapunov matrix equat...
A few methods are proposed for solving large Lyapunov equations that arise in control problems. The ...
The characterization of polynomials whose zeros lie in certain algebraic domains (and the unificatio...
In this dissertation we consider the numerical solution of large $(100 \leq n \leq 1000)$ and very l...
AbstractThe Lyapunov matrix equation AX+XA⊤=B is N-stable when all eigenvalues of the real n×n matri...
Balanced truncation is a standard technique for model reduction of linear time invariant dynamical s...
Balanced truncation is an attractive method for reducing the dimension of medium-scale dynamical sys...
In this paper we show how to improve the approximate solution of the large Lyapunov equation obtaine...
Two efficient methods for solving generalized Lyapunov equations and their implementations in FORTRA...
The discrete-time positive periodic Lyapunov equations have important applications in the balancing ...
AbstractThis paper describes how the well-known Lyapunov theory can be used for thedevelopment of a ...
AbstractIn this report, a new procedure is presented for solving the Lyapunov matrix equation. First...
AbstractWe present the approximate power iteration (API) algorithm for the computation of the domina...
AbstractWe discuss the numerical solution and perturbation theory for the generalized continuous-tim...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algorithm,...
AbstractThe squared Smith method is adapted to solve large-scale discrete-time Lyapunov matrix equat...
A few methods are proposed for solving large Lyapunov equations that arise in control problems. The ...
The characterization of polynomials whose zeros lie in certain algebraic domains (and the unificatio...
In this dissertation we consider the numerical solution of large $(100 \leq n \leq 1000)$ and very l...
AbstractThe Lyapunov matrix equation AX+XA⊤=B is N-stable when all eigenvalues of the real n×n matri...
Balanced truncation is a standard technique for model reduction of linear time invariant dynamical s...
Balanced truncation is an attractive method for reducing the dimension of medium-scale dynamical sys...
In this paper we show how to improve the approximate solution of the large Lyapunov equation obtaine...
Two efficient methods for solving generalized Lyapunov equations and their implementations in FORTRA...
The discrete-time positive periodic Lyapunov equations have important applications in the balancing ...
AbstractThis paper describes how the well-known Lyapunov theory can be used for thedevelopment of a ...
AbstractIn this report, a new procedure is presented for solving the Lyapunov matrix equation. First...
AbstractWe present the approximate power iteration (API) algorithm for the computation of the domina...
AbstractWe discuss the numerical solution and perturbation theory for the generalized continuous-tim...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algorithm,...
AbstractThe squared Smith method is adapted to solve large-scale discrete-time Lyapunov matrix equat...
A few methods are proposed for solving large Lyapunov equations that arise in control problems. The ...
The characterization of polynomials whose zeros lie in certain algebraic domains (and the unificatio...