Description

Book Synopsis
Explores the major topics in Monte Carlo simulation. This title features the information that facilitates an understanding of problem solving across a wide array of subject areas, such as engineering, mathematics, and the physical and life sciences. It introduces the basic concepts of probability, Markov processes, and convex optimization.

Table of Contents
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.

Student Solutions Manual to accompany Simulation

    Product form

    £29.40

    Includes FREE delivery

    RRP £30.95 – you save £1.55 (5%)

    Order before 4pm today for delivery by Tue 7 Jul 2026.

    A Paperback / softback by Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Student Solutions Manual to accompany Simulation by Dirk P. Kroese

      Publisher: John Wiley & Sons Inc
      Publication Date: 15/01/2008
      ISBN13: 9780470258798, 978-0470258798
      ISBN10: 0470258799
      Also in:
      Mathematics

      Description

      Book Synopsis
      Explores the major topics in Monte Carlo simulation. This title features the information that facilitates an understanding of problem solving across a wide array of subject areas, such as engineering, mathematics, and the physical and life sciences. It introduces the basic concepts of probability, Markov processes, and convex optimization.

      Table of Contents
      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.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account