The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the ra… Meer...
The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model. Armin Zimmermann delivers a coherent and comprehensive overview on modeling with and quantitative evaluation of SDES. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their formal translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented. For researchers and graduate students this monograph summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to a new abstraction level with the introduction of a new and unifying framework. In addition, the extensive reference list is an excellent starting point for further detailed reading and research., Springer<
A digital copy of "Stochastic Discrete Event Systems" by Zimmermann. Download is immediately available upon purchase! 9783540741732,3540741739,stochastic,discrete,event,systems eBook, Vi… Meer...
A digital copy of "Stochastic Discrete Event Systems" by Zimmermann. Download is immediately available upon purchase! 9783540741732,3540741739,stochastic,discrete,event,systems eBook, Vitalsource Technologies, Inc.<
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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 model… Meer...
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. eBook Armin Zimmermann 12.01.2008, Springer, Springer<
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(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.
The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the ra… Meer...
The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model. Armin Zimmermann delivers a coherent and comprehensive overview on modeling with and quantitative evaluation of SDES. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their formal translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented. For researchers and graduate students this monograph summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to a new abstraction level with the introduction of a new and unifying framework. In addition, the extensive reference list is an excellent starting point for further detailed reading and research., Springer<
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A digital copy of "Stochastic Discrete Event Systems" by Zimmermann. Download is immediately available upon purchase! 9783540741732,3540741739,stochastic,discrete,event,systems eBook, Vi… Meer...
A digital copy of "Stochastic Discrete Event Systems" by Zimmermann. Download is immediately available upon purchase! 9783540741732,3540741739,stochastic,discrete,event,systems eBook, Vitalsource Technologies, Inc.<
Download INSTANTLY! Format: VitalSource. Type: . Copying: Allowed, .2Â.36 selections may be copied daily for 2Â.365 days. Printable: Allowed, .2Â.36 prints daily for 2Â.365 days. Expires: No Expiration. Read Aloud?: Allowed. Sharing: Not Allowed. Software: Online: No additional software required <br> Offline: VitalSource Bookshelf. Shipping to USA only! Textbooks. Verzendingskosten: EUR 0.00
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 model… Meer...
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. eBook Armin Zimmermann 12.01.2008, Springer, Springer<
Nr. 24489724. Verzendingskosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 16.79)
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Gedetalleerde informatie over het boek. - Stochastic Discrete Event Systems
EAN (ISBN-13): 9783540741732 ISBN (ISBN-10): 3540741739 Verschijningsjaar: 2008 Uitgever: Springer Berlin 392 Bladzijden Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2010-03-23T06:03:06+01:00 (Amsterdam) Detailpagina laatst gewijzigd op 2024-02-07T10:31:47+01:00 (Amsterdam) ISBN/EAN: 9783540741732
ISBN - alternatieve schrijfwijzen: 3-540-74173-9, 978-3-540-74173-2 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: zimmermann, armin, buchholtz Titel van het boek: event, system
Gegevens van de uitgever
Auteur: Armin Zimmermann Titel: Stochastic Discrete Event Systems - Modeling, Evaluation, Applications Uitgeverij: Springer; Springer Berlin 392 Bladzijden Verschijningsjaar: 2008-01-12 Berlin; Heidelberg; DE Gedrukt / Gemaakt in Taal: Engels 96,29 € (DE) 99,00 € (AT) 118,00 CHF (CH) Available XVI, 392 p. 86 illus.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Mathematik für Informatiker; Verstehen; Performance Modeling; Petri Nets; Queuing Models; Stochastic Automata; System Optimization; System Performance; communication; system; C; Probability and Statistics in Computer Science; Probability Theory and Stochastic Processes; System Performance and Evaluation; Simulation and Modeling; Mathematical Modeling and Industrial Mathematics; Probability and Statistics in Computer Science; Probability Theory; System Performance and Evaluation; Computer Modelling; Mathematical Modeling and Industrial Mathematics; Computer Science; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Systemanalyse und -design; Computermodellierung und -simulation; Mathematische Modellierung; Mathematik für Ingenieure; BB
Modeling.- A Unified Description for Stochastic Discrete Event Systems.- Stochastic Timed Automata.- Queuing Models.- Simple Petri Nets.- Colored Petri Nets.- Evaluation.- Standard Quantitative Evaluation Methods for SDES.- An Iterative Approximation Method.- Efficient Simulation of SDES Models.- System Optimization.- Model-Based Direct Control.- Software Tool Support.- Applications.- Optimization of a Manufacturing System.- Communication System Performability Evaluation.- Supply Chain Performance Evaluation and Design.- Model-Based Design and Control of a Production Cell.- Summary and Outlook.
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