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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton, NJ :
Princeton University Press,
[2009]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Frontmatter
- Contents
- Preface and Acknowledgments
- Part I: PROBABILITY
- Chapter 1. Probability
- Chapter 2. Combinatorics-The Art of Counting
- Chapter 3. Random Variables and Distribution Functions
- Chapter 4. Joint and Conditional Distributions
- Chapter 5. Expectations and More
- Chapter 6. Discrete Distribution Functions
- Chapter 7. Continuous Distribution Functions
- Chapter 8. Bounds and Limit Theorems
- Part II: MARKOV CHAINS
- Chapter 9. Discrete- and Continuous-Time Markov Chains
- Chapter 10. Numerical Solution of Markov Chains
- Part III. QUEUEING MODELS
- Chapter 11. Elementary Queueing Theory
- Chapter 12. Queues with Phase-Type Laws: Neuts' Matrix-Geometric Method
- Chapter 13. The z-Transform Approach to Solving Markovian Queues
- Chapter 14. The M/G/1 and G/M/1 Queues
- Chapter 15. Queueing Networks
- Part IV: SIMULATION
- Chapter 16. Some Probabilistic and Deterministic Applications of Random Numbers
- Chapter 17. Uniformly Distributed "Random" Numbers
- Chapter 18. Nonuniformly Distributed "Random" Numbers
- Chapter 19. Implementing Discrete-Event Simulations
- Chapter 20. Simulation Measurements and Accuracy
- Appendix A: The Greek Alphabet
- Appendix B: Elements of Linear Algebra
- Bibliography
- Index