William L. Dunn, J. Kenneth Shultis

Exploring Monte Carlo Methods (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Exploring Monte Carlo Methods, Second Edition provides a valuable introduction to the numerical methods that have come to be known as "Monte Carlo." This unique and trusted resource for course use, as well as researcher reference, offers accessible coverage, clear explanations and helpful examples throughout. Building from the basics, the text also includes applications in a variety of fields, such as physics, nuclear engineering, finance and investment, medical modeling and prediction, archaeology, geology and transportation planning.

• Provides a comprehensive yet concise treatment of Monte Carlo methods
• Uses the famous "Buffon's needle problem" as a unifying theme to illustrate the many aspects of Monte Carlo methods
• Includes numerous exercises and useful appendices on: Certain mathematical functions, Bose Einstein functions, Fermi Dirac functions and Watson functions

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 592
• Erscheinungstermin: 7. Juni 2022
• Englisch
• ISBN-13: 9780128197455
• Artikelnr.: 64153027

Autorenporträt

Dr. Bill Dunn graduated with a BS degree in Electrical Engineering from the University of Notre Dame and MS and PhD degrees in Nuclear Engineering from North Carolina State University (NCSU). He was employed by Carolina Power & Light Company for four years and then served on the faculty and staff of the Nuclear Engineering Department at NCSU for two years. From 1979 until 2002, Dr. Dunn was involved in contract research. From 1988 until 2002, he was President of Quantum Research Services. He is now Professor and former Department Head of the Mechanical and Nuclear Engineering Department at Kansas State University. He is an editor of the journal Radiation Physics and Chemistry and Treasurer of the International Radiation Physics Society. In 2015, Dr. Dunn was recognized with the Radiation Science and Technology Award by the American Nuclear Society.

Inhaltsangabe

1. Introduction 2. The Basis of Monte Carlo 3. Pseudorandom Number
Generators 4. Sampling, Scoring, and Precision 5. Variance Reduction
Techniques 6. Markov Chain Monte Carlo 7. Inverse Monte Carlo 8. Linear
Operator Equations 9. The Fundamentals of Neutral Particle Transport 10.
Monte Carlo Simulation of Neutral Particle Transport 11. Monte Carlo
Applications