Stochastic Discrete Event Systems
Stochastic Discrete Event Systems
By:Armin Zimmermann
Published on 2008-01-12 by Springer Science & Business Media



Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.
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Book which was published by Springer Science & Business Media since 2008-01-12 have ISBNs, ISBN 13 Code is 9783540741732 and ISBN 10 Code is 3540741739
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