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Pseudorandom numbers are important ingredients of stochastic simulations. Their quality is fundamental for the strength of the simulation outcome. The inversive congruential method for generating uniform pseudorandom numbers is a particularly attractive alternative to linear congruential...
We analyze distributed event-driven computation on message-passing parallel computing systems. Synchronization is the mechanism that ensures that causality in the ordering of stochastically generated events for execution during the computation is maintained. We characterize distributed...
Qualitative models arising in artificial intelligence domain often concern real systems that are difficult to represent with traditional means. However, some promise for dealing with such systems is offered by research in simulation methodology. Such research produces models that combine both...
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