Simulation of high-speed interconnects

R Achar, MS Nakhla - Proceedings of the IEEE, 2001 - ieeexplore.ieee.org
With the rapid developments in very large-scale integration (VLSI) technology, design and
computer-aided design (CAD) techniques, at both the chip and package level, the operating …

A review of finite-element methods for time-harmonic acoustics

LL Thompson - The Journal of the Acoustical Society of America, 2006 - pubs.aip.org
State-of-the-art finite-element methods for time-harmonic acoustics governed by the
Helmholtz equation are reviewed. Four major current challenges in the field are specifically …

[BOK][B] Approximation of large-scale dynamical systems

AC Antoulas - 2005 - SIAM
In today's technological world, physical and artificial processes are mainly described by
mathematical models, which can be used for simulation or control. These processes are …

[BOK][B] Templates for the solution of algebraic eigenvalue problems: a practical guide

Z Bai, J Demmel, J Dongarra, A Ruhe, H van der Vorst - 2000 - SIAM
In many large scale scientific or engineering computations, ranging from computing the
frequency response of a circuit to the earthquake response of a buildingto the energy levels …

[BOK][B] PRIMA: Passive reduced-order interconnect macromodeling algorithm

A Odabasioglu, M Celik, LT Pileggi - 2003 - Springer
This paper describes PRIMA, an algorithm for generating provably passive reduced order N-
port models for RCL interconnect circuits. It is demonstrated that, in addition to requiring …

Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems

Z Bai - Applied numerical mathematics, 2002 - Elsevier
In recent years, a great deal of attention has been devoted to Krylov subspace techniques
for reduced-order modeling of large-scale dynamical systems. The surge of interest was …

[PDF][PDF] A survey of model reduction methods for large-scale systems

AC Antoulas, DC Sorensen… - Contemporary …, 2001 - people.cs.vt.edu
An overview of model reduction methods and a comparison of the resulting algorithms is
presented. These approaches are divided into two broad categories, namely SVD based …

An artificial neural network framework for reduced order modeling of transient flows

O San, R Maulik, M Ahmed - Communications in Nonlinear Science and …, 2019 - Elsevier
This paper proposes a supervised machine learning framework for the non-intrusive model
order reduction of unsteady fluid flows to provide accurate predictions of non-stationary state …

[HTML][HTML] Krylov-subspace methods for reduced-order modeling in circuit simulation

RW Freund - Journal of Computational and Applied Mathematics, 2000 - Elsevier
The simulation of electronic circuits involves the numerical solution of very large-scale,
sparse, in general nonlinear, systems of differential-algebraic equations. Often, the size of …

Model reduction methods based on Krylov subspaces

RW Freund - Acta Numerica, 2003 - cambridge.org
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 …