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» Dependence Modeling for Stochastic Simulation
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PROCEDIA
2010
103views more  PROCEDIA 2010»
14 years 11 months ago
The Deflated Relaxed Incomplete Cholesky CG method for use in a real-time ship simulator
Ship simulators are used for training purposes and therefore have to calculate realistic wave patterns around the moving ship in real time. We consider a wave model that is based ...
E. van't Wout, M. B. van Gijzen, A. Ditzel, Auke v...
DAC
1996
ACM
15 years 8 months ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor
140
Voted
ARC
2007
Springer
152views Hardware» more  ARC 2007»
15 years 4 months ago
Statistical signal processing approaches to fault detection
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
Fredrik Gustafsson
IJON
2010
138views more  IJON 2010»
15 years 2 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
186
Voted
CPE
1994
Springer
170views Hardware» more  CPE 1994»
15 years 8 months ago
Automatic Scalability Analysis of Parallel Programs Based on Modeling Techniques
When implementingparallel programs forparallel computer systems the performancescalability of these programs should be tested and analyzed on different computer configurations and...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...