A standard approach to model reduction of large-scale higher-order linear dynamical systems is to rewrite the system as an equivalent first-order system and then employ Krylov-subspace techniques for model reduction of first-order systems. This paper presents some results about the structure of the block-Krylov subspaces induced by the matrices of such equivalent first-order formulations of higher-order systems. Two general classes of matrices, which exhibit the key structures of the matrices of first-order formulations of higher-order systems, are introduced. It is proved that for both classes, the block-Krylov subspaces induced by the matrices in these classes can be viewed as...
This thesis focuses on the model reduction of linear systems and the solution of large scale linear ...
AbstractA simple, yet powerful approach to model order reduction of large-scale linear dynamical sys...
A novel Krylov subspace method is proposed to substantially reduce the computational complexity of t...
A standard approach to model reduction of large-scale higher-order linear dynamical systems...
A standard approach to model reduction of large-scale higher-order linear dynamical systems is to re...
A standard approach to reduced-order modeling of higher-order linear dynamical systems is t...
A standard approach to reduced-order modeling of higher-order linear dynamical systems is t...
New variants of Krylov subspace methods for numerical solution of linear systems, eigenvalue, and mo...
AbstractThe aim of the paper is to compile and compare basic theoretical facts on Krylov subspaces a...
Abstract. A general framework for structure-preserving model reduction by Krylov subspace projection...
AbstractIn order reduction of large-scale linear time invariant systems, Krylov subspace methods bas...
Abstract – For efficient simulation of state-of-the-art dynamical systems as arise in all aspects of...
Model reduction for Linear dynamical system can be done by Krylov subspace method. In this paper, we...
In this work we investigate the application of some model order reduction techniques, based on Krylo...
In this work we investigate the application of some model order reduction techniques, based on Krylo...
This thesis focuses on the model reduction of linear systems and the solution of large scale linear ...
AbstractA simple, yet powerful approach to model order reduction of large-scale linear dynamical sys...
A novel Krylov subspace method is proposed to substantially reduce the computational complexity of t...
A standard approach to model reduction of large-scale higher-order linear dynamical systems...
A standard approach to model reduction of large-scale higher-order linear dynamical systems is to re...
A standard approach to reduced-order modeling of higher-order linear dynamical systems is t...
A standard approach to reduced-order modeling of higher-order linear dynamical systems is t...
New variants of Krylov subspace methods for numerical solution of linear systems, eigenvalue, and mo...
AbstractThe aim of the paper is to compile and compare basic theoretical facts on Krylov subspaces a...
Abstract. A general framework for structure-preserving model reduction by Krylov subspace projection...
AbstractIn order reduction of large-scale linear time invariant systems, Krylov subspace methods bas...
Abstract – For efficient simulation of state-of-the-art dynamical systems as arise in all aspects of...
Model reduction for Linear dynamical system can be done by Krylov subspace method. In this paper, we...
In this work we investigate the application of some model order reduction techniques, based on Krylo...
In this work we investigate the application of some model order reduction techniques, based on Krylo...
This thesis focuses on the model reduction of linear systems and the solution of large scale linear ...
AbstractA simple, yet powerful approach to model order reduction of large-scale linear dynamical sys...
A novel Krylov subspace method is proposed to substantially reduce the computational complexity of t...