Posted by **Underaglassmoon** at May 22, 2017

Cambridge | English | 2016 | ISBN-10: 1107006422 | 512 pages | PDF | 7.96 mb

by James Gubernatis (Author), Naoki Kawashima (Author), Philipp Werner (Author)

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 **AvaxGenius** at July 21, 2017

English | PDF | 2008 | 256 Pages | ISBN : 3540762892 | 4 MB

This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo methods can be useful in generating approximate solutions to fuzzy optimization problems.

Posted by **nebulae** at July 13, 2017

English | ISBN: 1118612264 | 2014 | 208 pages | PDF | 6 MB

Posted by **libr** at May 16, 2017

English | 2010 | ISBN: 1420076183 | 484 pages | PDF | 4 MB

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 **step778** at Jan. 11, 2017

1994 | pages: 262 | ISBN: 1475797907 | PDF | 23,4 mb