Monte-Carlo Simulation - An Introduction for Engineers and Scientists

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.

Sommario

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.

Info autore

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Alan Stevens
• Editore: Taylor and Francis
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 04.10.2024
• EAN: 9781032280806
• ISBN: 978-1-032-28080-6
• Pagine: 98
• Peso: 453 g
• Illustrazioni: schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss
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