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Stochastic Discrete Event Systems - Armin Zimmermann
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Armin Zimmermann:
Stochastic Discrete Event Systems - neues Buch

ISBN: 9783540741732

ID: 9783540741732

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. Stochastic Discrete Event Systems: 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-Verlag Gmbh

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Stochastic Discrete Event Systems - Armin Zimmermann
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Armin Zimmermann:
Stochastic Discrete Event Systems - neues Buch

ISBN: 9783540741732

ID: 9783540741732

Stochasticdiscreteeventsystems(SDES)arisefrequentlyinthedesign,ana- sis,andoptimizationofman-madeengineeredsystems.Thedominantdyn- ics ofsuchsystems tendto be modeled notthroughthe applicationofphysical laws but through the speci cation of protocols, algorithms, and managerial rules. The key role of such protocols, algorithms, and rules as a determ- ing factor in the performance of engineered systems has become increasingly evident as technology has advanced over the last half century. Opportunities for utilizing SDES as a design tool clearly arise in vir- ally all settings in which software nds application, because software often is generated in the course of formally specifying the algorithms and protocols to be followed by a man-made system. But SDES also have become a st- dard means of evaluating managerial policies and rules arising in higher-level systems in which human beings interact with technology, as in the setting of call centers,large manufacturing systems, and corporatesupply chains. Given the importance of SDES, the development of a systematic and compreh- sive mathematical and computational toolset for the speci cation and design of such systems has become a key issue that has attracted a great deal of attention within the engineering community. Stochastic Discrete Event Systems: Stochasticdiscreteeventsystems(SDES)arisefrequentlyinthedesign,ana- sis,andoptimizationofman-madeengineeredsystems.Thedominantdyn- ics ofsuchsystems tendto be modeled notthroughthe applicationofphysical laws but through the speci cation of protocols, algorithms, and managerial rules. The key role of such protocols, algorithms, and rules as a determ- ing factor in the performance of engineered systems has become increasingly evident as technology has advanced over the last half century. Opportunities for utilizing SDES as a design tool clearly arise in vir- ally all settings in which software nds application, because software often is generated in the course of formally specifying the algorithms and protocols to be followed by a man-made system. But SDES also have become a st- dard means of evaluating managerial policies and rules arising in higher-level systems in which human beings interact with technology, as in the setting of call centers,large manufacturing systems, and corporatesupply chains. Given the importance of SDES, the development of a systematic and compreh- sive mathematical and computational toolset for the speci cation and design of such systems has become a key issue that has attracted a great deal of attention within the engineering community., Springer-Verlag Gmbh

Neues Buch Rheinberg-Buch.de
Ebook, Englisch, Neuware Versandkosten:Ab 20¤ Versandkostenfrei in Deutschland, Sofort lieferbar, DE. (EUR 0.00)
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Stochastic Discrete Event Systems - Modeling, Evaluation, Applications - Zimmermann, Armin
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Zimmermann, Armin:
Stochastic Discrete Event Systems - Modeling, Evaluation, Applications - neues Buch

2008, ISBN: 3540741739

ID: 9783540741732

In englischer Sprache. Verlag: Springer Berlin, Stochasticdiscreteeventsystems(SDES)arisefrequentlyinthedesign,ana- sis,andoptimizationofman-madeengineeredsystems.Thedominantdyn- ics ofsuchsystems tendto be modeled notthroughthe applicationofphysical laws but through the speci?cation of protocols, algorithms, and managerial rules. The key role of such protocols, algorithms, and rules as a determ- ing factor in the performance of engineered systems has become increasingly evident as technology has advanced over the last half century. Opportunities for utilizing SDES as a design tool clearly arise in vir- ally all settings in which software ?nds application, because software often is generated in the course of formally specifying the algorithms and protocols to be followed by a man-made system. But SDES also have become a st- dard means of evaluating managerial policies and rules arising in higher-level systems in which human beings interact with technology, as in the setting of call centers,large manufacturing systems, and corporatesupply chains. Given the importance of SDES, the development of a systematic and compreh- sive mathematical and computational toolset for the speci?cation and design of such systems has become a key issue that has attracted a great deal of attention within the engineering community. PC-PDF, 392 Seiten, XVI Seiten, 392 Seiten, [GR: 9627 - Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik], [DRM: DE], [Ausgabe: 2008][PU:Springer Berlin], [PU: Springer, Berlin/Heidelberg]

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Stochastic Discrete Event Systems - Armin Zimmermann
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Armin Zimmermann:
Stochastic Discrete Event Systems - neues Buch

ISBN: 9783540741732

ID: 9783540741732

Computer Science; Probability and Statistics in Computer Science; Probability Theory and Stochastic Processes; System Performance and Evaluation; Simulation and Modeling; Mathematical Modeling and Industrial Mathematics Performance Modeling, Petri Nets, Queuing Models, Stochastic Automata, System Optimization, System Performance, communication, system Books eBook, Springer Science+Business Media

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Armin Zimmermann:
Stochastic Discrete Event Systems - Erstausgabe

2008, ISBN: 9783540741732

ID: 21666075

Modeling, Evaluation, Applications, [ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

Neues Buch Lehmanns.de
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