Discrete-event simulation : a first course /
Leemis, Lawrence M
Discrete-event simulation : a first course / Lawrence M. Leemis, Steve K. Park - Upper Saddle River, N.J. : Pearson Prentice Hall, c2006 - xv, 604 p. : ill. ; 25 cm
Includes bibliographical references and index
Models -- RandomNumber Generation -- DiscreteEvent Simulation -- statistics -- next-event simulation -- discrete random cariables -- continuous random varianles -- output analysis -- input modeling -- projects.
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.
0131429175
2005054983
Discrete-time systems--Textbooks
Computer simulation--Textbooks
Mathematical models--Textbooks
Random variables--Textbooks
003.3
Discrete-event simulation : a first course / Lawrence M. Leemis, Steve K. Park - Upper Saddle River, N.J. : Pearson Prentice Hall, c2006 - xv, 604 p. : ill. ; 25 cm
Includes bibliographical references and index
Models -- RandomNumber Generation -- DiscreteEvent Simulation -- statistics -- next-event simulation -- discrete random cariables -- continuous random varianles -- output analysis -- input modeling -- projects.
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.
0131429175
2005054983
Discrete-time systems--Textbooks
Computer simulation--Textbooks
Mathematical models--Textbooks
Random variables--Textbooks
003.3