The low-rank alternating direction implicit (LR-ADI) iteration is an effective method for solving large-scale Lyapunov equations. In the software library pyMOR, solutions to Lyapunov equations play an important role when reducing a model using the balanced truncation method. In this article we introduce the LR-ADI iteration as well as pyMOR, while focusing on its features which are relevant for integrating the iteration into the library. We compare the run time of the iteration's pure pyMOR implementation with those achieved by external libraries available within the pyMOR framework
AbstractThis paper is concerned with the numerical solution of large scale Sylvester equations AX−XB...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algo-rithm...
AbstractWe present the approximate power iteration (API) algorithm for the computation of the domina...
The low-rank alternating directions implicit (LR-ADI) iteration is a frequently employed method for ...
Two approaches for approximating the solution of large-scale Lyapunov equations are considered: the ...
One of the most computationally expensive steps of the low-rank ADI method for large-scale Lyapunov ...
AbstractThe Lyapunov matrix equation AX+XA⊤=B is N-stable when all eigenvalues of the real n×n matri...
AbstractIn this report, a new procedure is presented for solving the Lyapunov matrix equation. First...
pyMOR is a software library for building model order reduction applications with the Python programm...
A new version of the alternating directions implicit (ADI) iteration for the solution of large-scale...
Balanced truncation is an attractive method for reducing the dimension of medium-scale dynamical sys...
An algorithm is presented for constructing an approximate numerical solution to a large scale Lyapun...
An algorithm is presented for constructing an approximate numerical solution to a large scale Lyapun...
pyMOR is a modern, object-oriented software library for building advanced model order reduction appl...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algorithm,...
AbstractThis paper is concerned with the numerical solution of large scale Sylvester equations AX−XB...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algo-rithm...
AbstractWe present the approximate power iteration (API) algorithm for the computation of the domina...
The low-rank alternating directions implicit (LR-ADI) iteration is a frequently employed method for ...
Two approaches for approximating the solution of large-scale Lyapunov equations are considered: the ...
One of the most computationally expensive steps of the low-rank ADI method for large-scale Lyapunov ...
AbstractThe Lyapunov matrix equation AX+XA⊤=B is N-stable when all eigenvalues of the real n×n matri...
AbstractIn this report, a new procedure is presented for solving the Lyapunov matrix equation. First...
pyMOR is a software library for building model order reduction applications with the Python programm...
A new version of the alternating directions implicit (ADI) iteration for the solution of large-scale...
Balanced truncation is an attractive method for reducing the dimension of medium-scale dynamical sys...
An algorithm is presented for constructing an approximate numerical solution to a large scale Lyapun...
An algorithm is presented for constructing an approximate numerical solution to a large scale Lyapun...
pyMOR is a modern, object-oriented software library for building advanced model order reduction appl...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algorithm,...
AbstractThis paper is concerned with the numerical solution of large scale Sylvester equations AX−XB...
Abstract. This paper presents the Cholesky factor–alternating direction implicit (CF–ADI) algo-rithm...
AbstractWe present the approximate power iteration (API) algorithm for the computation of the domina...