Ebook Download Modern Simulation and Modeling (Wiley Series in Probability and Statistics)By Reuven Y. Rubinstein, Benjamin Melamed
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Modern Simulation and Modeling (Wiley Series in Probability and Statistics)By Reuven Y. Rubinstein, Benjamin Melamed
Ebook Download Modern Simulation and Modeling (Wiley Series in Probability and Statistics)By Reuven Y. Rubinstein, Benjamin Melamed
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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.
- Amazon Sales Rank: #5988395 in Books
- Published on: 1998-03-09
- Original language: English
- Number of items: 1
- Dimensions: 9.76" h x .93" w x 6.40" l, 1.50 pounds
- Binding: Hardcover
- 384 pages
From the Publisher This book explores modeling and simulation of discrete-event systems (DES), from computer-communication networks, to PERT networks, to flexible manufacturing and queueing systems and more. The book is divided into two parts, one on conventional, the other on modern simulation, with an innovative exploration on rare-event probability estimation. Emphasis is placed on making concepts accessible rather than on mathematical completeness, and each chapter includes extensive exercise sets and a bibliography.
From the Back Cover 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.
About the Author 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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