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Random variate generation by numerical inversion when only the density is known
Gerhard Derflinger, Wolfgang Hörmann, Josef Leydold
Article No.: 18
We present a numerical inversion method for generating random variates from continuous distributions when only the density function is given. The algorithm is based on polynomial interpolation of the inverse CDF and Gauss-Lobatto integration. The...
The impact of service demand variability on resource allocation strategies in a grid system
Stylianos Zikos, Helen D. Karatza
Article No.: 19
Scheduling and resource management play an important role in building complex distributed systems, such as grids. In this article we study the impact on performance of job service demand variability in a two-level grid architecture, given that the...
Crowd modeling and simulation technologies
Suiping Zhou, Dan Chen, Wentong Cai, Linbo Luo, Malcolm Yoke Hean Low, Feng Tian, Victor Su-Han Tay, Darren Wee Sze Ong, Benjamin D. Hamilton
Article No.: 20
As a collective and highly dynamic social group, the human crowd is a fascinating phenomenon that has been frequently studied by experts from various areas. Recently, computer-based modeling and simulation technologies have emerged to support...
Generalized Lindley-type recursive representations for multiserver tandem queues with blocking
Wai Kin, Victor Chan
Article No.: 21
Lindley's recursion is an explicit recursive equation that describes the recursive relationship between consecutive waiting times in a single-stage single-server queue. In this paper, we develop explicit recursive representations for multiserver...
A mixed reality approach for interactively blending dynamic models with corresponding physical phenomena
John Quarles, Paul Fishwick, Samsun Lampotang, Ira Fischler, Benjamin Lok
Article No.: 22
The design, visualization, manipulation, and implementation of models for computer simulation are key parts of the discipline. Models are constructed as a means to understand physical phenomena as state changes occur over time. One issue that...
An integrated human decision making model for evacuation scenarios under a BDI framework
Seungho Lee, Young-Jun Son, Judy Jin
Article No.: 23
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning for evacuation scenarios, whose submodules are based on a Bayesian Belief Network (BBN), Decision-Field-Theory (DFT), and a...