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Probability, Markov chains, queues, and simulation : the mathematical basis of performance modeling /

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduat...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Stewart, William J., 1946-
Format: Électronique eBook
Langue:Inglés
Publié: Princeton, N.J. : Princeton University Press, ©2009.
Sujets:
Accès en ligne:Texto completo
Table des matières:
  • Probability
  • Combinatorics : the art of counting
  • Random variables and distribution functions
  • Joint and conditional distributions
  • Expectations and more
  • Discrete distribution functions
  • Continuous distribution functions
  • Bounds and limit theorems
  • Discrete- and continuous-time Markov chains
  • Numerical solution of Markov chains
  • Elementary queueing theory
  • Queues with phase-type laws : neuts' matrix-geometric method
  • The z-transform approach to solving Markovian queues
  • The M/G/1 and G/M/1 queues
  • Queueing networks
  • Some probabilistic and deterministic applications of random numbers
  • Uniformly distributed "random" numbers
  • Nonuniformly distributed "random" numbers
  • Implementing discrete-event simulations
  • Simulation measurements and accuracy.