Student Solutions Manual to accompany Simulation and the Monte Carlo Method 2nd Edition Dirk P Kroese, Thomas Taimre, Zdravko I Botev, Reuven Y Rubinstein ISBN 978-0470258798
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Student Solutions Manual to accompany Simulation and the Monte Carlo Method 2nd Edition Dirk P Kroese, Thomas Taimre, Zdravko I Botev, Reuven Y Rubinstein – Ebook PDF Instant Download/Delivery:978-0470258798
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Product details:
ISBN 13: 978-0470258798
Author: Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev, Reuven Y. Rubinstein
This accessible new edition explores the major topics in Monte Carlo simulation
Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences.
The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many mode…
Table of contents:
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.
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Dirk P Kroese,Thomas Taimre,Zdravko I Botev,Reuven Y Rubinstein,Student,Simulation