Posted by **bookwyrm** at Dec. 16, 2015

2013 | 736 Pages | ISBN: 3642321658 | PDF | 5 MB

Posted by **arundhati** at Oct. 27, 2015

English | 2005 | ISBN: 0131862391 | PDF | 592 pages | 13 MB

Posted by **interes** at Sept. 11, 2015

English | 2013 | ISBN-10: 3642321658, 3642446213 | 680 pages | PDF | 5,8 MB

Posted by **tanas.olesya** at Nov. 13, 2014

Jones & Bartlett Learning; 1 edition | December 26, 2002 | English | ISBN: 0763722073 | 387 pages | PDF | 9 MB

Introduction to Cryptography with Java Applets covers the mathematical basis of cryptography and cryptanalysis, like linear diophantine equations, linear congruences, systems of linear congruences, quadratic congruences, and exponential congruences. The chapters present theorems and proofs, and many mathematical examples.

Posted by **arundhati** at April 4, 2014

2013 | ISBN-10: 3642321658 | 680 pages | PDF | 6 MB

Posted by **Beix** at Nov. 29, 2013

English | 2005 | ISBN: 0131862391 | PDF | 592 pages | 12.91 MB

Posted by **elodar** at Sept. 3, 2013

English | 2002-12-20 | ISBN: 0763722073 | 387 pages | PDF | 9.69 mb

Posted by **Tego** at Nov. 25, 2005

Cryptography is the lock that secures private information. Any lock can be broken; it is merely a question of difficulty. Introduction to Cryptography with Java Applets is a fresh approach, in that it balances the mathematics of cryptography with Java programming.

Posted by **AvaxGenius** at July 9, 2018

English | EPUB | 2016 | 285 Pages | ISBN : 3319283154 | 2.75 MB

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.

Posted by **hill0** at Feb. 3, 2018

English | 17 Jan. 2018 | ISBN: 1439806942 | 256 Pages | PDF | 8.35 MB

This book gives an accessible, detailed overview on techniques of single molecule biophysics (SMB), showing how they are applied to numerous biological problems associated with understanding the molecular mechanisms of DNA replication,