Monte Carlo Particle Transport Methods
โ Scribed by I. Lux (Author)
- Publisher
- CRC Press
- Year
- 1991
- Leaves
- 530
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
With this book we try to reach several more-or-less unattainable goals namely: To compromise in a single book all the most important achievements of Monte Carlo calculations for solving neutron and photon transport problems. To present a book which discusses the same topics in the three levels known from the literature and gives us useful information for both beginners and experienced readers. It lists both well-established old techniques and also newest findings.
โฆ Table of Contents
1. Scope of The Book 2. Introduction 3. Direct Simulation of The Physical Processes 4. Collision Density and Importance Equations and Their Solution 5. Moment Equation 6. Special Games 7. Optimization of Efficiency-Increasing Techniques.
โฆ Subjects
Engineering & Technology;Engineering Education
๐ SIMILAR VOLUMES
<p>Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-wo
<P>The Monte Carlo method has become the <I>de facto</I> standard in radiation transport. Although powerful, if not understood and used appropriately, the method can give misleading results. </P><B> <P>Monte Carlo Methods for Particle Transport</B> teaches appropriate use of the Monte Carlo method,
This book arises out of a course I am teaching for a two-credit (26 hour) graduate-level course Monte Carlo Methods being taught at the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan.
Los Alamos National Laboratory, US, LA-UR-05-4983. 2005, 403 pp.<br/>Solving particle transport problems with the Monte Carlo method is simple just simulate the particle behavior. The devil is in the details, however. This course provides a balanced approach to the theory and practice of Monte Carlo