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IOR
2006
163views more  IOR 2006»
13 years 7 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
DATE
2000
IEEE
112views Hardware» more  DATE 2000»
14 years 4 days ago
A Discrete-Time Battery Model for High-Level Power Estimation
In this paper, we introduce a discrete-time model for the complete power supply sub-system that closely approximates the behavior of its circuit-level (i.e., HSpice), continuous-t...
Luca Benini, Giuliano Castelli, Alberto Macii, Enr...
WSC
2004
13 years 9 months ago
A Framework for Adaptive Synchronization of Distributed Simulations
Increased complexity of simulation models and the related modeling needs for global supply chains have necessitated the execution of simulations on multiple processors. While dist...
Bertan Altuntas, Richard A. Wysk
WSC
2004
13 years 9 months ago
An Architecture for Distributed Simulation Games
In this paper we present an architecture for internet-mediated simulation games. The challenge was to use today's state of the art technologies to provide a simulated environ...
Stijn-Pieter A. van Houten, Peter H. M. Jacobs
WSC
2007
13 years 10 months ago
Agent-based modeling and simulation: desktop ABMS
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North