Posted by **ChrisRedfield** at July 19, 2015

Published: 1998-11-17 | ISBN: 0471196304 | PDF | 555 pages | 28.26 MB

Posted by **libr** at Oct. 23, 2015

English | 2013 | ISBN: 1466504056 | 626 pages | PDF | 3,2 MB

Posted by **interes** at Oct. 23, 2013

English | 2013 | ISBN: 1466504056 | 626 pages | PDF | 3,2 MB

In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced particle algorithms include…

Posted by **Jeembo** at March 6, 2017

English | 2007 | ISBN: 0195310101 | 198 Pages | DJVU | 1.8 MB

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables).

Posted by **ChrisRedfield** at Feb. 13, 2017

Published: 2010-05-07 | ISBN: 9814282359 | PDF | 280 pages | 7.1 MB

Posted by **fdts** at Dec. 12, 2016

by Alireza Haghighat

English | 2014 | ISBN: 1466592532 | 272 pages | PDF | 5.11 MB

Posted by **roxul** at Dec. 8, 2016

English | ISBN: 1498746225 | 2016 | 336 pages | EPUB | 25 MB

Posted by **alt_f4** at Nov. 21, 2016

English | Aug 28, 2000 | ISBN: 0521653142, 0521653665 | 399 Pages | PDF | 3 MB

This book deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science and lattice gauge theory.

Posted by **house23** at Nov. 10, 2016

MP4 | AVC 928kbps | English | 1280x720 | 30fps | 11h 42mins | AAC stereo 60kbps | 3.79 GB

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Posted by **Underaglassmoon** at Oct. 30, 2016

Springer | Physics | November 18, 2016 | ISBN-10: 331944140X | 281 pages | pdf | 3.73 mb

Authors: Vassiliev, Oleg N.

Focuses on the fundamentals and explains the mathematical foundations and the underlying logic of Monte Carlo algorithms

Comprehensively covers all the classical as well as recently emerging topics important for medical physics applications

Presents most of the techniques as step-by-step algorithms, so that the reader will have ready-to-use recipes for a variety of problems