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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
DATE
2010
IEEE
164views Hardware» more  DATE 2010»
14 years 16 days ago
On passivity of the super node algorithm for EM modeling of interconnect systems
—The super node algorithm performs model order reduction based on physical principles. Although the algorithm provides us with compact models, its passivity has not thoroughly be...
Maria V. Ugryumova, Wil H. A. Schilders
WSC
2008
13 years 9 months ago
Reducing the variance of likelihood ratio greeks in Monte Carlo
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Luca Capriotti
ISQED
2005
IEEE
120views Hardware» more  ISQED 2005»
14 years 1 months ago
Passive Hierarchical Model Order Reduction and Realization of RLCM Circuits
This paper presents a novel compact passive modeling technique for high-performance RF passives and interconnects modeled as high-order RLCM circuits. The new method is based on a...
Pu Liu, Zhenyu Qi, Sheldon X.-D. Tan
ISIPTA
2003
IEEE
140views Mathematics» more  ISIPTA 2003»
14 years 22 days ago
A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability
A second-order hierarchical uncertainty model of a system of independent random variables is studied in the paper. It is shown that the complex nonlinear optimization problem for ...
Lev V. Utkin