Skip to main content

Simulation and the Monte Carlo Method

Simulation and the Monte Carlo Method

Reuven Y. Rubinstein

ISBN: 978-0-470-31722-8 September 2009 304 Pages




This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
Systems, Models, Simulation and the Monte Carlo Method.

Random Number Generation.

Random Variate Generation.

Monte Carlo Integration and Variance Reduction Techniques.

Linear Equations and Markov Chains.

Regenerative Method for Simulation Analysis.

Monte Carlo Optimization.