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Gerald S. Shedler – författare

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4 produkter

  1. Gerald S. Shedler - Regenerative Stochastic Simulation, E-bok. Tillgänglighet: Lägg i varukorg

    Regenerative Stochastic Simulation

    Av Gerald S. Shedler

    E-bok, 1992

    807 kr

    Lägg i varukorg

    Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state …

  2. Gerald S. Shedler - Regeneration and Networks of Queues, Inbunden. Tillgänglighet: Lägg i varukorg

    Regeneration and Networks of Queues

    Av Gerald S. Shedler

    Inbunden, 1986

    1093 kr

    Lägg i varukorg

    Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non­ Markovian in the sense that the underlying stochastic process cannot …

  3. Gerald S. Shedler - Regeneration and Networks of Queues, E-bok. Tillgänglighet: Lägg i varukorg

    Regeneration and Networks of Queues

    Av Gerald S. Shedler

    E-bok, 2012

    1459 kr

    Lägg i varukorg

    Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non­ Markovian in the sense that the underlying stochastic process cannot …

  4. Gerald S. Shedler - Regeneration and Networks of Queues, Häftad. Tillgänglighet: Lägg i varukorg

    Regeneration and Networks of Queues

    Av Gerald S. Shedler

    Häftad, 2012

    1093 kr

    Lägg i varukorg

    Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non­ Markovian in the sense that the underlying stochastic process cannot …