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Discrete-Event Simulation (Springer Series in Operations Research)

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Discrete-Event Simulation (Springer Series in Operations Research) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002

Table of Contents

Simulation in Perspective * Modeling Concepts * Data Collection and Averages * Programming and Execution * Search, Space, and Time * Output Analysis * Making Sense of Output and Increasing Efficiency * Sampling from Probability Distributions * Pseudorandom Number Generation * Preparing the Input *

Product Details

ISBN:
9780387951607
Author:
Fishman, George S.
Publisher:
Springer
Author:
Fishman, G. S.
Author:
Fishman, George S.
Location:
New York, NY
Subject:
Computer Science
Subject:
Decision Making & Problem Solving
Subject:
Operations Research
Subject:
Simulation methods
Subject:
Discrete-time systems
Subject:
Simulation, Mâethodes de
Subject:
Systáemes âechantillonnâes
Subject:
Business Writing
Subject:
Counting & Numeration
Subject:
discrete-event simulation
Subject:
simulation modeling
Subject:
Computational Mathematics and Numerical Analysis
Subject:
Simulation and Modeling
Subject:
Economic theory
Subject:
Operations Research/Decision Theory
Subject:
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Subject:
Operation Research/Decision Theory
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Computer science_xMathematics
Subject:
Computer simulation
Subject:
Economics
Copyright:
Edition Description:
Book
Series:
Springer Series in Operations Research and Financial Engineering
Series Volume:
no. 3
Publication Date:
20010627
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
556
Dimensions:
235 x 178 mm 1080 gr

Related Subjects

Business » Business Plans
Business » General
Business » Management
Business » Strategy
Business » Writing
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Simulation
Textbooks » General

Discrete-Event Simulation (Springer Series in Operations Research) Used Hardcover
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Product details 556 pages Springer-Verlag - English 9780387951607 Reviews:
"Synopsis" by , "This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002
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