Description
Book SynopsisMonte-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
Table of Contents
1. The Basic Idea. 2. Buffon's Needle. 3. Areas and Integrals. 4. Thermal Radiation. 5. Bending Beams. 6. Torus Segment. 7. Radiation Shielding. 8. Stressed Cylinder. 9. Linear Resistive Networks. 10. Magnetic Phase Transitions. 11. Polymer Chains. 12. Solutions to Selected Problems. 13. Appendix.
