Posted by **interes** at Nov. 5, 2014

English | 2012 | ISBN: 9814350672 | 696 pages | PDF | 7,7 MB

The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutation and selection at the Mendelian level.

Posted by **step778** at May 4, 2018

2007 | pages: 473 | ISBN: 0898716330 | DJVU | 3,5 mb

Posted by **AvaxGenius** at May 3, 2018

This book introduces the theory of stochastic processes with applications taken from physics and finance. Fundamental concepts like the random walk or Brownian motion but also Levy-stable distributions are discussed. Applications are selected to show the interdisciplinary character of the concepts and methods. In the second edition of the book a discussion of extreme events ranging from their mathematical definition to their importance for financial crashes was included.

Posted by **AvaxGenius** at April 16, 2018

This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory.

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 **AlenMiler** at March 31, 2018

English | 21 Dec. 2015 | ISBN: 1498755011 | 632 Pages | PDF | 11.42 MB

Posted by **DZ123** at March 30, 2018

English | 2006 | ISBN: 0821838989 | DJVU | pages: 171 | 1.8 mb

Posted by **ksveta6** at March 28, 2018

2013 | ISBN: 9814447994 | English | 176 pages | PDF | 2 MB

Posted by **Underaglassmoon** at Feb. 27, 2018

CRC Press | English | 2018 | ISBN-10: 1466515201 | 408 pages | PDF | 7.94 mb

by Athanasios Christou Micheas (Author)

Posted by **AvaxGenius** at Feb. 5, 2018

This book has been designed for a final year undergraduate course in stochastic processes. It will also be suitable for mathematics undergraduates and others with interest in probability and stochastic processes, who wish to study on their own. The main prerequisite is probability theory: probability measures, random variables, expectation, independence, conditional probability, and the laws of large numbers. The only other prerequisite is calculus.