Monte-Carlo Simulation: An Introduction for Engineers and Scientists

by Alan Stevens

Overview

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.

Product Details

ISBN-13:	9781032280806
Publisher:	CRC Press
Publication date:	10/04/2024
Pages:	112
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Alan Stevens spent his working life (35 years) at Rolls-Royce as a mathematical modeller, dealing mainly with design, safety and performance calculations for nuclear reactors. Rolls-Royce designs and manufactures the nuclear reactors that power the Royal Navy’s submarines. This included engineering heat transfer and fluid flow, reactor physics and whole plant modelling. In retirement he has sat on several committees of the Institute of Mathematics and Its Applications (IMA) in the UK, including its Executive Board and governing Council. He spent four years as its VP of Communications.

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.