Introduction to stochastic processes and simulation
Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the under...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, England ; Hoboken, New Jersey :
ISTE
[2019]
|
| Edición: | First edition |
| Colección: | Information systems, web and pervasive computing series
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630768406719 |
Tabla de Contenidos:
- Part 1 : Basic Mathematical Concepts
- Chapter 1. Basic Reminders of Probability
- Chapter 2. Probabilistic Models
- Chapter 3. Management
- Part 2 : Stochastic Processes
- Chapter 4. Markov Chains
- Chapter 5. Markov Processes
- Chapter 6. Queueing Systems
- Chapter 7. Various Applications
- Part 3 : Simulation
- Chapter 8. Generator Programs
- Chapter 9. Principles of Simulation
- Chapter 10. Simulation of Inventory Management
- Chapter 11. Simulation of a Queueing
- Chapter 12. Access Optimization and Simulation.
