Jul 3, 2020 � The proposed method can handle large-scale regular and singular circuits and generate accurate and efficient reduced-order models for circuit�...

Jan 29, 2021 � The proposed method can handle large-scale regular and singular circuits, and generate accurate and efficient reduced-order models for circuit�...

The proposed method can handle large-scale regular and singular circuits and generate accurate and efficient reduced-order models for circuit simulation.

Frequency-limited reduction of regular and singular circuit models via extended krylov subspace method. G Floros, N Evmorfopoulos, G Stamoulis. IEEE�...

In this paper, we describe the use of Krylov-subspace methods for generating such reduced-order models of linear subcircuits. Particular emphasis is on reduced-�...

The extended Krylov subspace method has recently arisen as a competitive method for solving large-scale Lyapunov equations. Using the theoretical framework�...

In this paper, we begin with a tutorial of a Lanczos process based Krylov subspace technique for reduced-order modeling of linear dynamical systems, and then�...

A parallel linear balanced truncation method for power systems based on extended Krylov subspace (EKS) is proposed in this work.

This paper reviews the main ideas of reduced-order modelling techniques based on Krylov sub- spaces and describes some applications of reduced-order modelling�...

In recent years, Krylov-subspace methods have be- come popular tools for computing reduced-order mod- els of large-scale time-invariant linear dynamical sys�...