Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-09T14:15:02.913Z Has data issue: false hasContentIssue false
  • English
  • Français

Model reduction methods based on Krylov subspaces

Published online by Cambridge University Press:  29 July 2003

Roland W. Freund
Roland W. Freund
Affiliation:
Bell Laboratories, Lucent Technologies, Room 2C-525, Murray Hill, NJ 07974-0636, USA E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

Type
Research Article
Information
Acta Numerica , Volume 12 , May 2003 , pp. 267 - 319
Copyright
© Cambridge University Press 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)