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Simulation and the Monte Carlo Method, Student Solutions Manual

Simulation and the Monte Carlo Method, Student Solutions Manual by Reuven Y. Rubinstein
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Preface.

Acknolwedgments.

I: Problems.

1. Preliminaries.

2. Random Number, random Variable, and Stochastic Process Generation.

3. Simulatin of Discrete-Event Systems.

4. Stastical Analysis of Discrete-Event Systems.

5. Controlling the Variance.

6. Markov Chain Monte Carlo.

7. Sensitivity Analysis and Monte Carlo Optimization.

8. The Cross-Entropy Method.

9. Counting via Monte Carlo.

10. Appendix.

II: Solutions.

11. Prelimiaries.

12. Random Number, Random Variable, and Stochastic Process Generation.

13. Simulatin of Discrete-Event Systems.

14. Stastical Analysis of Discrete-Event Systems.

15. Controlling the Variance.

16. Markov Chain Monte Carlo.

17. Sensitivity Analysis and Monte Carlo Optimization.

18. The Cross-Entropy Method.

19. Counting via Monte Carlo.

20. Appendix.

Wiley; January 2012
204 pages; ISBN 9780470285305
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Title: Simulation and the Monte Carlo Method, Student Solutions Manual
Author: Reuven Y. Rubinstein; Dirk P. Kroese
 
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