Online Public Access Catalogue

Max-Plus Linear Stochastic Systems and Perturbation Analysis (Record no. 12286)

MARC details
020 ## -
-- 9780387389950
-- 978-0-387-38995-0
024 7# -
-- 10.1007/978-0-387-38995-0
-- doi
050 #4 -
-- QA276-280
072 #7 -
-- UYAM
-- bicssc
072 #7 -
-- UFM
-- bicssc
072 #7 -
-- COM077000
-- bisacsh
082 04 -
-- 005.55
-- 23
100 1# -
-- Heidergott, Bernd.
-- editor.
245 10 -
-- Max-Plus Linear Stochastic Systems and Perturbation Analysis
-- [electronic resource] /
-- edited by Bernd Heidergott.
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2007.
300 ## -
-- XII, 320 p.
-- online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- The International Series on Discrete Event Dynamic Systems,
-- 1388-4328 ;
-- 16
505 0# -
-- Max-Plus Algebra -- Max-Plus Linear Stochastic Systems -- Ergodic Theory -- Perturbation Analysis -- A Max-Plus Differential Calculus -- Higher-Order D-Derivatives -- Taylor Series Expansions.
520 ## -
-- 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.
650 #0 -
-- Computer science.
650 #0 -
-- Algebra
-- Data processing.
650 14 -
-- Computer Science.
650 24 -
-- Probability and Statistics in Computer Science.
650 24 -
-- Math Applications in Computer Science.
650 24 -
-- Symbolic and Algebraic Manipulation.
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9780387352060
830 #0 -
-- The International Series on Discrete Event Dynamic Systems,
-- 1388-4328 ;
-- 16
856 40 -
-- http://dx.doi.org/10.1007/978-0-387-38995-0
912 ## -
-- ZDB-2-SCS
950 ## -
-- Computer Science (Springer-11645)
999 ## -
-- 12286
-- 12286

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