Galerkin-free model reduction for fluid-structure interaction using proper orthogonal decomposition

V Shinde, E Longatte, F Baj, Y Hoarau… - Journal of Computational …, 2019 - Elsevier
A Galerkin-free model reduction approach for fluid-structure interaction (FSI) is presented in
this article. The reduced order model (ROM) is based on proper orthogonal decomposition …

On the parallelization of vector fitting algorithms

A Chinea, S Grivet-Talocia - IEEE Transactions on Components …, 2011 - ieeexplore.ieee.org
The so-called vector fitting (VF) algorithm has gained much popularity over the last few
years. This technique provides a very effective system identification tool that, starting from …

Advanced symbolic analysis for VLSI systems

G Shi, SXD Tan, E Tlelo-Cuautle - Methods and Applications, Berlin …, 2014 - Springer
Symbolic analysis is an intriguing topic for VLSI design. Traditional symbolic analysis is
typically concerned with deriving exact or approximate analytic expressions of analog circuit …

Frequency-limited reduction of regular and singular circuit models via extended krylov subspace method

G Floros, N Evmorfopoulos… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
During the past decade, model order reduction (MOR) has become key enabler for the
efficient simulation of large circuit models. MOR techniques based on balanced truncation …

Fast variational analysis of on-chip power grids by stochastic extended Krylov subspace method

N Mi, SXD Tan, Y Cai, X Hong - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper proposes a novel stochastic method for analyzing the voltage drop variations of
on-chip power grid networks, considering lognormal leakage current variations. The new …

[图书][B] Statistical performance analysis and modeling techniques for nanometer VLSI designs

R Shen, SXD Tan, H Yu - 2012 - books.google.com
Since process variation and chip performance uncertainties have become more pronounced
as technologies scale down into the nanometer regime, accurate and efficient modeling or …

Decentralized and passive model order reduction of linear networks with massive ports

B Yan, SXD Tan, L Zhou, J Chen… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
It is well known that model order reduction for circuits with many terminals remains a
challenging problem. One reason is that existing approaches are based on a centralized …

Fluidelastic instability in heat exchanger tube arrays and a Galerkin-free model reduction of multiphysics systems

V Shinde - 2015 - polytechnique.hal.science
Heat exchangers are widely used in the power generation industries. The cross-flow type of
heat exchangers are more common. The rate of heat transfer is enhanced by operating the …

DeMOR: Decentralized model order reduction of linear networks with massive ports

B Yan, L Zhou, SXD Tan, J Chen… - Proceedings of the 45th …, 2008 - dl.acm.org
Model order reduction is an efficient technique to reduce the system complexity while
producing a good approximation of the input-output behavior. However, the efficiency of …

Deterministic random walk preconditioning for power grid analysis

J Wang - Proceedings of the International Conference on …, 2012 - dl.acm.org
Iterative linear equation solvers depend on high quality preconditioners to achieve fast
convergence. For sparse symmetric systems arising from large power grid analysis …