Titlebook: Object-Oriented Computer Simulation of Discrete-Event Systems; Jerzy Tyszer Book 1999 Springer Science+Business Media New York 1999 Simula

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Random number generators, processes, such as the time elapsed between clicks of a Geiger counter placed next to a sample of some radioactive element or numbers appearing on balls drawn out of an urn. Since such a technique does not seem to be very practical, an alternative solution is to use a computer to produce random num

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Collection and analysis of simulation results,s did not pay sufficient attention to the gathering and analysis of simulation data. In this chapter we will tackle this extremely important problem of how to obtain reliable estimates of system performance measures at a reasonable cost. Clearly, the stochastic simulation can be viewed as a statisti

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Examples of simulation models,s of the models is shown. Another objective of this chapter is to familiarize the reader with typical analysis problems that may be resolved by simulation. Thus each example includes the problem statement and the specific questions to be answered.

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1388-4328 n techniques available to the modelers of dynamicsystems. Unlike other books on simulation, this book includes acomplete and balanced description of all essential issues relevant tocomputer simulation of discrete event systems, and it teachessimulation users how to design, program and exploit their