Posted by **arundhati** at May 1, 2016

2015 | ISBN-10: 1466683155 | 298 pages | PDF | 4 MB

Posted by **arundhati** at April 23, 2018

2015 | ISBN-10: 3319128523 | 220 pages | EPUB | 5 MB

Posted by **AvaxGenius** at April 14, 2018

English | PDF | 2010 | 486 Pages | ISBN : 1441916040 | 9.43 MB

This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and in asymptotic methods, rather than in probability and measure theory. It shows how to derive explicit expressions for quantities of interest by solving equations. Emphasis is put on rational modeling and approximation methods.

Posted by **ksveta6** at March 30, 2018

2017 | ISBN: 113822880X, 1138228796 | English | 504 pages | PDF | 3 MB

Posted by **hill0** at Feb. 15, 2018

English | 29 Dec. 2017 | ISBN: 1447173473 | 678 Pages | PDF | 5.71 MB

Posted by **roxul** at Jan. 9, 2018

English | ISBN: 1107020409, 1107652529 | 2014 | 374 pages | PDF | 2 MB

Posted by **step778** at Nov. 16, 2017

2004 | pages: 329 | ISBN: 0691089299 | PDF | 2,5 mb

Posted by **hill0** at Nov. 2, 2017

English | 30 Jun. 2014 | ISBN: 3319066730 | 140 Pages | EPUB | 2 MB

Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area.

Posted by **DZ123** at April 23, 2018

English | 2012 | ISBN: 1461442494 | PDF | pages: 402 | 3.2 mb

Posted by **step778** at April 20, 2018

2005 | pages: 632 | ISBN: 0521818648 | PDF | 8,3 mb