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...
Cote: | Libro Electrónico |
---|---|
Auteur principal: | |
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.