Description: 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++. PROCEEDS BENEFIT OUR LOCAL LIBRARY PROGRAMS - THANK YOU! Please visit our store for more titles. https://www.ebay.com/usr/friendsofthepaloaltolibrary
Price: 60 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Pages: 380
Publication Date: 2004-10-04
Personalized: No
Educational Level: Adult & Further Education
Level: Advanced
Country/Region of Manufacture: Singapore
Author: Bernd A. Berg
Publication Name: Markov Chain Monte Carlo Simulations and Their Statistical Analysis : with Web-Based Fortran Code
Format: Hardcover
Language: English
Subject: Probability & Statistics / Stochastic Processes, Computer Science, Physics / General, Discrete Mathematics
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2004
Type: Textbook
Subject Area: Computers, Science, Mathematics
Item Weight: 0 Oz
Number of Pages: 380 Pages
