Monte Carlo Strategies in Scientific Computing is popular PDF and ePub book, written by Jun S. Liu in 2013-11-11, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Monte Carlo Strategies in Scientific Computing can be Read Online from any device for your convenience.
Monte Carlo Strategies in Scientific Computing Book PDF Summary
This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods.
Detail Book of Monte Carlo Strategies in Scientific Computing PDF
- Author : Jun S. Liu
- Release : 11 November 2013
- Publisher : Springer Science & Business Media
- ISBN : 9780387763712
- Genre : Mathematics
- Total Page : 350 pages
- Language : English
- PDF File Size : 18,8 Mb
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