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Stochastic Discrete Event Systems
Armin Zimmermann
€ 129.92
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Description for Stochastic Discrete Event Systems
Hardback. Delivers comprehensive overview on modeling with a quantitative evaluation of SDES. This title presents important model classes like queuing networks, Petri nets and automata. It summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to an abstraction level with the introduction of a unifying framework. Num Pages: 392 pages, 86 black & white illustrations, 25 black & white tables, biography. BIC Classification: PBWH; PBWL. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 23. Weight in Grams: 747.
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.
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.
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
392
Condition
New
Number of Pages
392
Place of Publication
Berlin, Germany
ISBN
9783540741725
SKU
V9783540741725
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Armin Zimmermann
Since fall 2006 Armin Zimmermann has held a deputy professorship for real-time systems and robotics at the faculty of electrical engineering and computer sciences of TU Berlin. He is the principal investigator of the research group Model-Based Evaluation of Discrete Real-Time Systems and coordinates the graduate college "Stochastic Modelling and Quantitative Analysis of Complex Systems in Engineering". Prior to that, ... Read more
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