670 search results - page 20 / 134 » Introduction to Monte Carlo simulation |
TSP
2008
14 years 9 months ago
2008
In multitarget scenarios, kinematic constraints from the interaction of targets with their environment or other targets can restrict target motion. Such motion constraint informati...
MOR
2007
14 years 9 months ago
2007
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
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GLOBECOM
2007
IEEE
15 years 4 months ago
2007
IEEE
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity be...
FPL
2007
Springer
15 years 3 months ago
2007
Springer
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
CIG
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...