Monte-Carlo Simulation
eBook - ePub

Monte-Carlo Simulation

An Introduction for Engineers and Scientists

Alan Stevens

  1. 98 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Monte-Carlo Simulation

An Introduction for Engineers and Scientists

Alan Stevens

Book details
Table of contents
Citations

About This Book

Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models.

Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language.

Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics, as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations.

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Information

Publisher
CRC Press
Year
2022
ISBN
9781000655704
Edition
1
Topic
Matemáticas
Subtopic
Matemáticas general

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. About the Author
  9. Chapter 1 The Basic Idea
  10. Chapter 2 Buffon’s Needle
  11. Chapter 3 Areas and Integrals
  12. Chapter 4 Thermal Radiation
  13. Chapter 5 Bending Beams
  14. Chapter 6 Torus Segment
  15. Chapter 7 Radiation Shielding
  16. Chapter 8 Stressed Cylinder
  17. Chapter 9 Linear Resistive Networks
  18. Chapter 10 Magnetic Phase Transitions
  19. Chapter 11 Polymer Chains
  20. Chapter 12 Solutions To Selected Exercises
  21. Appendix A: Random Numbers
  22. Appendix B: Variance Reduction
  23. Index
Citation styles for Monte-Carlo Simulation

APA 6 Citation

Stevens, A. (2022). Monte-Carlo Simulation (1st ed.). CRC Press. Retrieved from https://www.perlego.com/book/3565447 (Original work published 2022)

Chicago Citation

Stevens, Alan. (2022) 2022. Monte-Carlo Simulation. 1st ed. CRC Press. https://www.perlego.com/book/3565447.

Harvard Citation

Stevens, A. (2022) Monte-Carlo Simulation. 1st edn. CRC Press. Available at: https://www.perlego.com/book/3565447 (Accessed: 24 June 2024).

MLA 7 Citation

Stevens, Alan. Monte-Carlo Simulation. 1st ed. CRC Press, 2022. Web. 24 June 2024.