Beschreibung
InhaltsangabeSimulation in Perspective * Modeling Concepts * Data Collection and Averages * Programming and Execution * Search, Space, and Time * Output Analysis * Making Sense of Output and Increasing Efficiency * Sampling from Probability Distributions * Pseudorandom Number Generation * Preparing the Input *