Stochastic Petri Nets

Name: Stochastic Petri Nets
Brand: Springer-Verlag New York Inc.
SKU: 9780387954455
Price: 208.5 PLN
Availability: InStock

Modelling, Stability, Simulation

Autor: Peter J. Haas

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

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This book is about stochastic Petri nets (SPNs), which have proven to be a popular tool for modellin...

Informacje o książce

Autor

Peter J. Haas

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2002

strony

510

EAN

9780387954455

ISBN

0387954457

Enbook ID

01384407

Wydawca

Springer-Verlag New York Inc.

Waga

916

Wymiary

243 x 164 x 35

Pełny opis

This book is about stochastic Petri nets (SPNs), which have proven to be a popular tool for modelling and performance analysis of complex discrete-event stochastic systems. The focus is on methods for modelling a system as an SPN with ge- neral firing times and for studying the long-run behavior of the resulting SPN model using computer simulation. Modelling techniques are illustrated in the context of computer, manufacturing, telecommunication, and transportation systems. The simulation discussion centers on the theory that underlies estimation procedures such as the regenerative method, the method of batch means, and spectral methods. Tying these topics together are conditions on the building blocks of an SPN under which the net is stable over time and specified estimation procedures are valid. In addition, the book deve- lops techniques for comparing the modelling power of different discrete-event formalisms. These techniques provide a means for making principled choice s between alternative mo- delling frameworks and also can be used to extend stability results and limit theorems from one framework to another. As an overview of fundamental modelling, stability, convergence, and estimation issues for discrete-event systems, this book will be of interest to researchers and graduate students in Applied Mathematics, Operations Research, Applied Probability, and Statistics. This book also will be of interest to practitioners in these fields, because it provides an introduction to a powerful collection of tools both for modelling and for simulation-based performance analysis. Peter J. Haas is a member of the Research Staff at the IBM Alma- den Research Center in San Jose, California.

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Stochastic Petri Nets

Modelling, Stability, Simulation

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