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SIAMSC
2008
131views more  SIAMSC 2008»
14 years 9 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
JCNS
2002
99views more  JCNS 2002»
14 years 9 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
APCCAS
2006
IEEE
229views Hardware» more  APCCAS 2006»
15 years 3 months ago
Low Power Combinational Multipliers using Data-driven Signal Gating
— A data driven approach to design and optimization of low power combinational multipliers is presented. This technique depends on signal gating to avoid un-necessary computation...
Nima Honarmand, Ali Afzali-Kusha
VLSI
2007
Springer
15 years 3 months ago
Parametric structure-preserving model order reduction
Abstract—Analysis and verification environments for nextgeneration nano-scale RFIC designs must be able to cope with increasing design complexity and to account for new effects,...
Jorge Fernandez Villena, Wil H. A. Schilders, L. M...
TMC
2010
109views more  TMC 2010»
14 years 8 months ago
Uncertainty Modeling and Reduction in MANETs
—Evaluating and quantifying trust stimulates collaboration in mobile ad hoc networks (MANETs). Many existing reputation systems sharply divide the trust value into right or wrong...
Feng Li, Jie Wu