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Inhaltsangabe
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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Über die Autorin bzw. den Autor
REUVEN Y. RUBINSTEIN has written extensively on simulation while teaching in the Industrial Engineering and Management Department of the Technion-Israel Institute of Technology. BENJAMIN MELAMED is a member of the Rutgers University, Faculty of Management.
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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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Modern Simulation and Modeling (Wiley Series in Probability and Statistics)
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Modern Simulation and Modeling
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Wiley & Sons, Incorporated, John, 1998
ISBN 10: 0471170771
ISBN 13: 9780471170778
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Modern Simulation and Modeling (Wiley Series in Probability and Statistics)
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Modern Simulation and Modeling
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Modern Simulation and Modeling
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Gebunden. Zustand: New. REUVEN Y. RUBINSTEIN has written extensively on simulation while teaching in the Industrial Engineering and Management Department of the Technion-Israel Institute of Technology. BENJAMIN MELAMED is a member of the Rutgers University, Faculty of Management. Artikel-Nr. 446914883
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Modern Simulation and Modeling (Wiley Series in Probability and Statistics)
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Modern Simulation and Modeling
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Zustand: New. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 384 pages, Illustrations. BIC Classification: PBT; PBWH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 243 x 168 x 26. Weight in Grams: 698. . 1998. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780471170778
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Modern Simulation and Modeling
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Buch. Zustand: Neu. Neuware - A step-by-step guide for today's modeling and simulation practicesThis 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 readingModern 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. Artikel-Nr. 9780471170778
Anzahl: 2 verfügbar