Titlebook: Regeneration and Networks of Queues; Gerald S. Shedler Book 1987 Springer Science+Business Media New York 1987 Markov chain.Markov process

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懒惰民族

https://doi.org/10.1007/978-1-4612-1050-4Markov chain; Markov process; Stochastic processes; regenerative process; stochastic process

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Markovian Networks of Queues,only available means for studying such networks. The underlying stochastic process of the simulation is defined in terms of a linear “job stack,” an enumeration by service center and job class of all the jobs.

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Non-Markovian Networks of Queues,pter, we derive analogous estimation procedures for networks with general service times. The development requires that we restrict attention to networks that have a “single state” in which all jobs are at the same service center with exactly one job in service. Regenerative cycles are defined in terms of entrances to the single state.

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先锋派

Book 1987for studying the behavior of complex networks and many such simulations are non­ Markovian in the sense that the underlying stochastic process cannot be repre­ sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the sim

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Discrete Event Simulation,t or impossible to obtain an exact analytic solution. Simulation is essentially a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic techniques do not suffice. This book concentrates on.in which the behavior of a specified stochastic system i

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Regenerative Simulation,generation points or regeneration times, at which the process probabilistically restarts. Typically, the times at which a regenerative process probabilistically starts afresh occur when the process returns to some fixed state. The essence of regeneration is that the evolution of the process between

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