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» Direct Nonlinear Order Reduction with Variational Analysis
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DAC
2007
ACM
14 years 8 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar
CCE
2004
13 years 7 months ago
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Bifurcation theory provides a powerful tool for analyzing the nonlinear dynamic behavior of process systems. However, although the theory in principle applies to lumped as well as...
Yi Liu, Elling W. Jacobsen
DAC
2007
ACM
14 years 8 months ago
PV-PPV: Parameter Variability Aware, Automatically Extracted, Nonlinear Time-Shifted Oscillator Macromodels
Abstract-- The PPV is a robust phase domain macromodel for oscillators. It has been proven to predict oscillators' responses correctly under small signal perturbations, and ca...
Zhichun Wang, Xiaolue Lai, Jaijeet S. Roychowdhury
ICCAD
2007
IEEE
137views Hardware» more  ICCAD 2007»
14 years 4 months ago
Analysis of large clock meshes via harmonic-weighted model order reduction and port sliding
— Clock meshes posses inherent low clock skews and excellent immunity to PVT variations, and have increasingly found their way to high-performance IC designs. However, analysis o...
Xiaoji Ye, Peng Li, Min Zhao, Rajendran Panda, Jia...
JSCIC
2007
165views more  JSCIC 2007»
13 years 7 months ago
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration
Image restoration has been an active research topic and variational formulations are particularly effective in high quality recovery. Although there exist many modelling and theore...
Ke Chen 0002, Xue-Cheng Tai