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Discrete-Event Simulation

Discrete-Event Simulation

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Author: George S. Fishman
Publisher: Springer
Category: Book

List Price: $99.00
Buy New: $69.80
You Save: $29.20 (29%)



New (11) Used (10) from $45.00

Avg. Customer Rating: 5.0 out of 5 stars 1 reviews
Sales Rank: 1179517

Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 558
Shipping Weight (lbs): 2.4
Dimensions (in): 9.3 x 7.1 x 1.2

ISBN: 0387951601
Dewey Decimal Number: 658.40352
EAN: 9780387951607
ASIN: 0387951601

Publication Date: June 27, 2001
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Shipping: International shipping available
Condition: New Book. International Shipping Available

Also Available In:

  • Kindle Edition - Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering)
  • Digital - Discrete-Event Simulation: Modeling, Programming, and Analysis (Springer Series in Operations Research and Financial Engineering)

Accessories:

  • An Introduction to Copulas (Springer Series in Statistics)
  • Modelling and Control of Robot Manipulators (Advanced Textbooks in Control and Signal Processing)
  • Numerical Geometry of Images: Theory, Algorithms, and Applications

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  • Discrete-Event System Simulation (4th Edition) (Prentice-Hall International Series in Industrial and Systems)
  • Theory of Modeling and Simulation
  • Simulation Modeling and Analysis with Expertfit Software
  • Queueing Systems. Volume 1: Theory
  • Discrete-Event Simulation: A First Course

Editorial Reviews:

Product Description
Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modeling concepts for abstracting the essential features of a system, using specially designed software for converting these relationships into computer executable code capable of generating the requisite sample-path data; outlining procedures for converting these data into estimates of systems performances; and then illustrating methods for assessing how well these estimates approximate true, but unknown system behavior. This book is intended for upper level undergraduate and graduate students in operations research and management science, mathematics, industrial engineering, computer science, and business and features extensive exercises throughout.


Customer Reviews:

5 out of 5 stars great book on simulation   March 26, 2008
 24 out of 24 found this review helpful

I think Fishman's book is one of the best introduction to Monte Carlo methods, simulation and pseudo-random number generation. It is also a great reference. However if one is interested in the history of Monte Carlo including its early development in particle physics I recommen the old monograph by Hammersley and Handscomb which also does a great job at introducing the various variance reduction techniques. This is an aspect of the Monte Carlo method that Fishman does not address. It was more important in the days when computers were slow but it still has applications with certain intensive modern computing problems such as Markov Chain Monte Carlo.


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