Model reduction methods based on Krylov subspaces

Roland W. Freund
2003 Acta Numerica  
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.
doi:10.1017/s0962492902000120 fatcat:exummewusbeuxhoudz2umv6rg4