QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Language: English

Published by Springer, Springer Nature Switzerland Dez 2024, 2024

3031748697 / 9783031748691

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This item is printed on demand - Print on Demand Titel. Neuware -This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by imposing conditional independence, which may be represented via a probabilistic graphical model, and exploiting model dynamics. It is specifically crafted for transient analysis of nonstationary systems, often encountered in practical applications but rarely addressed by traditional techniques. It can work directly with empirical distributions and requires no stability assumptions. Since its output is not noisy, QPLEX is tailor-made for sensitivity analysis and optimization.The methodology's few model primitives are flexible enough to specify a rich array of models. For example, models representing queueing networks can exhibit challenging characteristics such as short operational horizons; time-varying arrival rates, service durations, and numbers of servers; and complex routing of entities.The text is accessible to those with engineering, computer science, or mathematics backgrounds and knowledge of probability and stochastic models at the advanced undergraduate level. Many fully worked-out examples aid the comprehension of the concepts and calculations, ensuring readers can effectively apply the methods to real-world systems and making this book a valuable resource for researchers and practitioners alike.This is an open access book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.

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Title
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems
Author
Antonius B. Dieker
Publisher
Springer, Springer Nature Switzerland Dez 2024
Publication year
2024
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031748697
ISBN 13
9783031748691
Item weight
721 grams
Dimensions
241x160x26 mm

buchversandmimpf2000

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