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Programming Markov Chain Monte Carlo Simulations And Their Statistical Analysis: With Web-based Fortran Code

Posted on 2010-03-16




Name:Programming Markov Chain Monte Carlo Simulations And Their Statistical Analysis: With Web-based Fortran Code
ASIN/ISBN:9812389350
Language:English
File size:13.6 Mb
Publish Date: 2004
ISBN: 9812389350
Pages: 380 pages
File Type: PDF
File Size: 13,6 MB
Other Info: World Scientific Publishing Company
   Programming Markov Chain Monte Carlo Simulations And Their Statistical Analysis: With Web-based Fortran Code



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Bernd A. Berg, "Markov Chain Monte Carlo Simulations And Their Statistical Analysis: With Web-based Fortran Code"

This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course. It ranges from elementary statistics concepts (the theory behind MC simulations), through conventional Metropolis and heat bath algorithms, autocorrelations and the analysis of the performance of MC algorithms, to advanced topics including the multicanonical approach, cluster algorithms and parallel computing. Therefore, it is also of interest to researchers in the field. The book relates the theory directly to Web-based computer code. This allows readers to get quickly started with their own simulations and to verify many numerical examples easily. The present code is in Fortran 77, for which compilers are freely available. The principles taught are important for users of other programming languages, like C or C++.

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