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Model reduction methods based on Krylov subspaces
2003
Acta Numerica
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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