Discrete-event simulation : a first course / Lawrence M. Leemis, Steve K. Park

By:

Leemis, Lawrence M

Contributor(s):

Park, Stephen Keith

Material type: Text

TextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2006Description: xv, 604 p. : ill. ; 25 cmISBN:

0131429175

Subject(s):

DDC classification:

003.3 22

Contents:

Models -- RandomNumber Generation -- DiscreteEvent Simulation -- statistics -- next-event simulation -- discrete random cariables -- continuous random varianles -- output analysis -- input modeling -- projects.

Summary: This volume introduces computational and mathematical techniques for modeling, simulating, and analyzing the performance of various systems.Helps readers gain a better understanding of how systems operate and respond to change by: 1) helping them begin to model, simulate, and analyze simple-but-representative systems as soon as possible; and 2) whenever possible, encouraging the experimental exploration and self-discovery of theoretical results before their formal presentation. Features an approachable writing style that emphasizes concepts and insight without sacrificing rigor. Provides C software as source code for running simulations developed in the book, eliminating the need for readers to do all their programming from scratch. Emphasizes an algorithmic approach throughout.A useful reference for industrial engineers.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Main library General Stacks	003.3 / LE. D 2006 (Browse shelf(Opens below))	1	Available		007315

Includes bibliographical references and index

This volume introduces computational and mathematical techniques for modeling, simulating, and analyzing the performance of various systems.Helps readers gain a better understanding of how systems operate and respond to change by: 1) helping them begin to model, simulate, and analyze simple-but-representative systems as soon as possible; and 2) whenever possible, encouraging the experimental exploration and self-discovery of theoretical results before their formal presentation. Features an approachable writing style that emphasizes concepts and insight without sacrificing rigor. Provides C software as source code for running simulations developed in the book, eliminating the need for readers to do all their programming from scratch. Emphasizes an algorithmic approach throughout.A useful reference for industrial engineers.

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