Written by a leading researcher this book presents an introduction to Stochastic Petri Nets covering the modeling power of the proposed SPN model, the stability conditions and the simulation methods. Its unique and well-written approach provides a timely and important addition to the literature. Appeals to a wide range of researchers in engineering, computer science, mathematics and OR.
Written by a leading researcher this book presents an introduction to Stochastic Petri Nets covering the modeling power of the proposed SPN model, the stability conditions and the simulation methods. Its unique and well-written approach provides a timely and important addition to the literature. Appeals to a wide range of researchers in engineering, computer science, mathematics and OR.
Produktdetails
Produktdetails
Springer Series in Operations Research and Financial Engineering
Softcover reprint of the original 1st edition 2002
Seitenzahl: 532
Erscheinungstermin: 6. Dezember 2010
Englisch
Abmessung: 235mm x 155mm x 29mm
Gewicht: 797g
ISBN-13: 9781441930019
ISBN-10: 1441930019
Artikelnr.: 32161507
Herstellerkennzeichnung
Die Herstellerinformationen sind derzeit nicht verfügbar.
Autorenporträt
Stochastic petri nets have proven to be a useful tool for modelling and performance analysis of complex discrete-event stochastic systems such as those in telecommunications, manufacturing, transportation. This monograph centers on techniques for the modelling and computer simulation of such systems. Researchers and graduate students in applied math, computer engineering, computer science, electrical engineering, industrial engineering operations research and applied probability will find this book useful.
Inhaltsangabe
Modelling with Stochastic Petri Nets.- The Marking Process.- Modelling Power.- Recurrence.- Regenerative Simulation.- Alternative Simulation Methods.- Delays.- Colored Stochastic Petri Nets.
Modelling with Stochastic Petri Nets.- The Marking Process.- Modelling Power.- Recurrence.- Regenerative Simulation.- Alternative Simulation Methods.- Delays.- Colored Stochastic Petri Nets.
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