• Title Applications of Monte Carlo Method in Science and Engineering
• Author(s) Shaul Mordechai
• Publisher: InTech (February 28, 2011)
• License(s): Attribution 3.0 Unported (CC BY 3.0)
• Hardcover 950 pages
• eBook PDF files, and a PDF (966 pages)
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-307-691-1
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Book Description

In this book, Applications of Monte Carlo Method in Science and Engineering, we further expose the broad range of applications of Monte Carlo simulation in the fields of Quantum Physics, Statistical Physics, Reliability, Medical Physics, Polycrystalline Materials, Ising Model, Chemistry, Agriculture, Food Processing, X-ray Imaging, Electron Dynamics in Doped Semiconductors, Metallurgy, Remote Sensing and much more diverse topics.

The book chapters included in this volume clearly reflect the current scientific importance of Monte Carlo techniques in various fields of research.

The book covers basic random generation algorithms, Monte Carlo techniques for integration and optimization, convergence diagnoses, Markov chain Monte Carlo methods, including Metropolis {Hastings and Gibbs algorithms, and adaptive algorithms

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• Computational Simulations and Modeling
• Bayesian Thinking
• Statistics, and SAS Programming
• The R Programming Language
• Probability, Stochastic Process, Queueing Theory, etc.
• Applied Mathematics
• Financial Mathematics and Economics

• Applications of Monte Carlo Method in Science and Engineering (Shaul Mordechai)
• PDF Format

• Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science (Charles J Mode)
• Theory and Applications of Monte Carlo Simulations (Wai Kin Chan)
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• Bayesian Data Analysis (Andrew Gelman, et al.)