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Applications of Monte Carlo Method in Science and Engineering
1 July 2011

Applications of Monte Carlo Method in Science and Engineering
Applications of Monte Carlo Method in Science and Engineering
332 pages | Aug 31 2010 |ISBN:9533076917 | PDF | 50.5 Mb

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.
Monte Carlo Frameworks: Building Customisable High-performance C++ Applications
25 November 2011

Monte Carlo Frameworks: Building Customisable High-performance C++ Applications


Monte Carlo Frameworks: Building Customisable High-performance C++ Applications by Daniel J. Duffy, Joerg Kienitz


Wil ey | 2009 | ISBN: 0470060697 | 775 pages | PDF | 3,5 MB



The Monte Carlo method is now acknowledged as being one of the most robust tools for a range of applications in finance, from option pricing to risk management and optimization. One of the best languages for the development of Monte Carlo applications and frameworks is C++, an object-oriented and generic programming language which is also an industry standard.
Monte Carlo Statistical Methods
26 December 2010

Monte Carlo Statistical Methods

Monte Carlo Statistical Methods

2004 | 645 | ISBN: 0387212396 | DJVU | 7 Mb

"Although the book is written as a textbook, with many carefully worked out examples and exercises, it will be very useful for the researcher since the authors discuss their favorite research topics (Monte Carlo optimization and convergence diagnostics) going through many relevant references…This book is a comprehensive treatment of the subject and will be an essential reference for statisticians working with McMC."...
Explorations in Monte Carlo Methods
27 November 2010

Explorations in Monte Carlo Methods
Explorations in Monte Carlo Methods Springer | English | 2009-08-17 | ISBN: 038787836X | 244 pages | PDF | 13 MB
Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems.
The Monte Carlo Method for Semiconductor Device Simulation
13 April 2013


The Monte Carlo Method for Semiconductor Device Simulation

The Monte Carlo Method for Semiconductor Device Simulation
Carlo Jacoboni,
English | ISBN: 3709174538, 3211821104 | 1989 | PDF | 372 pages | 45 MB
Applications of the Monte Carlo Method in Statistical Physics
19 April 2011

Applications of the Monte Carlo Method in Statistical Physics

Applications of the Monte Carlo Method in Statistical Physics

1987 | 341 | ISBN: 0387176500 | DJVU | 4 Mb

3540176500Deals with the computer simulation of complex physical sys- tems encounteredin condensed-matter physics and statistical mechanics as well as in related fields such as metallurgy, polymer research,lattice gauge theory and quantummechanics....
Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
1 June 2013

Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation
by Granino A. Korn
English | 2007 | ISBN: 0470081880 | 240 pages | PDF | 3.26 MB

This cutting-edge text presents the latest techniques in advanced simulation programming for interactive modeling and simulation of
A Guide to Monte Carlo Simulations in Statistical Physics
23 February 2012

A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics

2005 | 432 | ISBN: 0521842387 | PDF | 6 Mb

This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines....
The Monte Carlo Simulation Method for System Reliability and Risk Analysis
3 July 2013


The Monte Carlo Simulation Method for System Reliability and Risk Analysis

The Monte Carlo Simulation Method for System Reliability and Risk Analysis
Enrico Zio,
2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB
Monte Carlo. Concepts, Algorithms and Applications
9 August 2010

Monte Carlo. Concepts, Algorithms and Applications
Monte Carlo. Concepts, Algorithms and Applications
Springer 1999 | 728 | ISBN: 038794527X | PDF | 7 Mb
This volume presents a comprehensive first course in the Monte Carlo method which will be suitable for graduate and undergraduate students in the mathematical sciences and engineering, principally in operations research, statistics, mathematics, and computer science. The reader is assumed to have a sound understanding of calculus, introductory matrix analysis, probability, and intermediate statistics, but otherwise the book is self-contained. As well as a thorough exploration of the important concepts of the Monte Carlo method, the volume includes over 90 algorithms which allow the reader to move rapidly from the concepts to putting them into practice. The book also contains numerous exercises, many of them hands-on implementations of selected algorithms to demonstrate the application of these ideas in realistic settings. Software, freely available via ftp and portable across computing platforms, provides programs for pseudorandom number generation and statistical sample path data analysis. The software is suitable for use with the exercises as well as for more general applications. For professional mathematical scientists and engineers this book provides a ready reference to the Monte Carlo method, especially to implementatable algorithms for performing sampling experiments on a computer and for analyzing their results. ...