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BMCBI
2006
179views more  BMCBI 2006»
13 years 6 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
SIGMOD
2004
ACM
164views Database» more  SIGMOD 2004»
14 years 6 months ago
Dynamic Plan Migration for Continuous Queries Over Data Streams
Dynamic plan migration is concerned with the on-the-fly transition from one continuous query plan to a semantically equivalent yet more efficient plan. Migration is important for ...
Yali Zhu, Elke A. Rundensteiner, George T. Heinema...
ACG
2006
Springer
14 years 8 days ago
An Event-Based Pool Physics Simulator
A method to simulate the physics of the game of pool is presented. The method is based upon a parametrization of ball motion which allows the time of occurrence of events, such as...
Will Leckie, Michael A. Greenspan
PE
2011
Springer
167views Optimization» more  PE 2011»
13 years 1 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
13 years 6 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao