A theoretical treatment of Monte Carlo optimization - simulation using perturbation analysis, adaptive methods, and variance reduction techniques. The book emphasizes concepts rather than mathematical completeness, and shows how to use simulation and Monte Carlo methods efficiently for estimating performance measures, sensitivities and optimization of stochastic systems.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
illustrations, bibliography, index
Maße
Gewicht
ISBN-13
978-0-471-81929-5 (9780471819295)
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Schweitzer Klassifikation
Antithetic and Common Random Variables in Simulation of Complex Stochastic Systems. Multidimensional Control Variates in Monte Carlo Simulation. Stochastic Optimization Via Stochastic Approximation. Perturbation Analysis for Sensitivity and Optimization of Complex Queueing Networks. Monte Carlo Optimization. Appendixes. References. Index.
