Matrix-Analytic Methods in Stochastic Models (eBook, ePUB)

Redaktion: Chakravarthy, S.; Alfa, Attahiru S.

• Format: ePub

Produktbeschreibung

Based on the proceedings of the first International Conference on Matrix-Analytic Methods (MAM) in Stochastic Models, held in Flint, Michigan, this book presents a general working knowledge of MAM through tutorial articles and application papers. It furnishes information on MAM studies carried out in the former Soviet Union.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 396
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781040214183
• Artikelnr.: 73255891

Autorenporträt

S. Chakravarthy, Attahiru S. Alfa

Inhaltsangabe

The Marcovian arrival process: some future directions
an algorithm for the P(n,t) matrices of a continuous BMAP
a pre-emptive priority Queue with non-renewal inputs
analysis of a multiserver delay-loss system with a general Markovian arrival process
analysis of a finite capacity multi-server Queue with non-preemptive priorities and non-renewal input
matrix-multiplicative approach to quasi-birth-and-death processes
a level crossing analysis in the MAP/G/1 Queue
performance analysis and optimal threshold policies for Queueing systems with several heterogeneous servers and Markov modulated arrivals
phase type distributions and related point processes
fitting and recent advances
parameter approximation for phase type distributions
SPH-distributions and the rectangle-iterative algorithm
execution time on unreliable server with latent breakdowns
asymptotic analysis of switching Queueing systems in conditions of small and heavy loading
matrix analytic methods: a tutorial overview with some extensions and new results
matrix-analytic methods for Markov chains on a tree structure
renewal theory and Queueing algorithms for matrix-exponential distributions
determination of explicit solutions to a general class of Markov processes
equilibrium distributions for level-dependent quasi-birth-and-death processes.