231 search results - page 3 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
ICCAD
2007
IEEE
14 years 2 months ago
2007
IEEE
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
INFOCOM
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract—Existing work on cross-layer optimization for wireless networks adopts simple physical-layer models, i.e., treating interference as noise. In this paper, we adopt a dete...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
CCE
2008
13 years 5 months ago
2008
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
HYBRID
2005
Springer
13 years 11 months ago
2005
Springer
This paper focuses on hybrid systems whose discrete state transitions depend on both deterministic and stochastic events. For such systems, after introducing a suitable hybrid mod...