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130626 ||| eng |
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|a 9780387389950
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| 100 |
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|a Heidergott, Bernd F.
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| 245 |
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|a Max-Plus Linear Stochastic Systems and Perturbation Analysis
|h Elektronische Ressource
|c by Bernd F. Heidergott
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a New York, NY
|b Springer US
|c 2007, 2007
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| 300 |
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|a XII, 320 p
|b online resource
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| 505 |
0 |
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|a Max-Plus Algebra -- Max-Plus Linear Stochastic Systems -- Ergodic Theory -- Perturbation Analysis -- A Max-Plus Differential Calculus -- Higher-Order D-Derivatives -- Taylor Series Expansions
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Symbolic and Algebraic Manipulation
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| 653 |
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|a Computer science
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Probability and Statistics in Computer Science
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| 653 |
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|a Mathematical Applications in Computer Science
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| 653 |
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|a Theory of Computation
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a The International Series on Discrete Event Dynamic Systems
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| 028 |
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|a 10.1007/978-0-387-38995-0
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| 856 |
4 |
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|u https://doi.org/10.1007/978-0-387-38995-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 004.0151
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| 520 |
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|a During the last decade, the area of stochastic max-plus linear systems has witnessed a rapid development, which created a growing interest in this area. This book provides a thorough treatment of the theory of stochastic max-plus linear systems. Max-plus algebra is an algebraic approach to discrete event systems (DES), like queuing networks that are prone to synchronization. Perturbation analysis studies the sensitivity of the performance of DES with respect to changes in a particular system parameter. The first part of the book addresses modeling issues and stability theory for stochastic max-plus systems. The second part of the book treats perturbation analysis of max-plus systems: a calculus for differentiation of max-plus systems is developed. This calculus leads to numerical evaluations of performance indices of max-plus linear stochastic systems, such as the Lyapunov exponent or waiting times. This book will be of interest to researchers and professionals in the area of applied probability who are interested in numerical evaluation of stochastic max-plus linear discrete event systems
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