Description

A step-by-step guide for today's modeling and simulation practices

This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more.

Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling:
* Emphasizes concepts rather than mathematical completeness
* Integrates references and explanations of complex topics into the body of the text
* Provides an innovative chapter on rare-event probability estimation
* Describes the implementation of the score function (SF) method using the NSO simulation package
* Features 40 illustrations and numerous algorithms
* Offers extensive, end-of-chapter exercise sets
* Includes chapter bibliographies for further reading

Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science.

Modern Simulation and Modeling

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£174.95

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Usually despatched within 5 days
Hardback by Reuven Y. Rubinstein , Benjamin Melamed

1 in stock

Short Description:

A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems (DES)... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 16/03/1998
    ISBN13: 9780471170778, 978-0471170778
    ISBN10: 0471170771

    Number of Pages: 384

    Non Fiction , Mathematics & Science , Education

    Description

    A step-by-step guide for today's modeling and simulation practices

    This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more.

    Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling:
    * Emphasizes concepts rather than mathematical completeness
    * Integrates references and explanations of complex topics into the body of the text
    * Provides an innovative chapter on rare-event probability estimation
    * Describes the implementation of the score function (SF) method using the NSO simulation package
    * Features 40 illustrations and numerous algorithms
    * Offers extensive, end-of-chapter exercise sets
    * Includes chapter bibliographies for further reading

    Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science.

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