Simulation /

This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume "simulation" refers to the analysis of...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Henderson, Shane G., Nelson, Barry L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier, 2006.
Edición:1st ed.
Colección:Handbooks in operations research and management science ; v. 13.
Temas:
Computer simulation.
Stochastic systems.
Management > Simulation methods.
Digital computer simulation.
Computer Simulation
Simulation par ordinateur.
Syst�emes stochastiques.
Gestion > M�ethodes de simulation.
simulation.
REFERENCE > Research.
Computersimulation
Operations Research
Management.
Computersimulaties.
Simula�c�ao.
computersimulatie
computer simulation
stochastisch programmeren
stochastic programming
wiskundige modellen
mathematical models
stochastische modellen
stochastic models
bayesiaanse theorie
bayesian theory
statistische analyse
statistical analysis
optimalisatie
optimization
heuristiek
heuristics
Mathematical Models, Simulation Models
Operationeel onderzoek
Wiskundige modellen, simulatiemodellen
Acceso en línea:Texto completo
Texto completo
Texto completo
Tabla de Contenidos:
  • Chapter 6. Arrival processes, random lifetimes and random objects
  • Chapter 7. Implementing representations of uncertainty
  • Chapter 8. Statistical estimation in computer simulation
  • Chapter 9. Subjective probability and bayesian methodology
  • Chapter 10. A Hilbert space approach to variance reduction
  • Chapter 11. Rare-event simulation techniques: an introduction and recent advances
  • Chapter 12 Quasi-random number techniques
  • Chapter 13 Analysis for design
  • Chapter 14 Resampling methods
  • Chapter 15. Correlation-based methods for output analysis
  • Chapter 16. Simulation algorithms for regenerative processes
  • Chapter 17. Selecting the best system
  • Chapter 18. Metamodel-based simulation optimization
  • Chapter 19. Gradient estimation
  • Chapter 20. An overview of simulation optimization via random search
  • Chapter 21. Metaheuristics.

Ejemplares similares