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» Model Order Reduction for Nonlinear IC Models
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ESANN
2007
13 years 10 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
ICCAD
1997
IEEE
86views Hardware» more  ICCAD 1997»
14 years 1 months ago
Interconnect design for deep submicron ICs
Interconnect has become the dominating factor in determining circuit performance and reliability in deep submicron designs. In this embedded tutorial, we first discuss the trends...
Jason Cong, David Zhigang Pan, Lei He, Cheng-Kok K...
ISQED
2008
IEEE
101views Hardware» more  ISQED 2008»
14 years 3 months ago
Projection-Based Piecewise-Linear Response Surface Modeling for Strongly Nonlinear VLSI Performance Variations
Large-scale process fluctuations (particularly random device mismatches) at nanoscale technologies bring about highdimensional strongly nonlinear performance variations that canno...
Xin Li, Yu Cao
EOR
2007
89views more  EOR 2007»
13 years 9 months ago
Note: An application of the EOQ model with nonlinear holding cost to inventory management of perishables
In this note, we consider a variation of the economic order quantity (EOQ) model where cumulative holding cost is a nonlinear function of time. This problem has been studied by We...
Mark Ferguson, Vaidy Jayaraman, Gilvan C. Souza
NECO
2008
111views more  NECO 2008»
13 years 9 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen