Posted by **vivid23** at Sept. 26, 2015

HDTV | 1280x720 | MKV/x264 @ 3500 Kbps | 58mn | Audio: English AAC 160 kbps, 2 channels | Subs: English | 947 MB

Without us noticing, modern life has been taken over. Algorithms run everything from search engines on the internet to satnavs and credit card data security - they even help us travel the world, find love and save lives. Professor Marcus du Sautoy demystifies the hidden world of algorithms. By showing us some of the algorithms most essential to our lives, he reveals where these 2,000-year-old problem solvers came from, how they work, what they have achieved and how they are now so advanced they can even programme themselves.

Posted by **tanas.olesya** at Nov. 19, 2014

Springer; 1999 edition | October 4, 2013 | English | ISBN: 3540633693 | 533 pages | DJVU | 6 MB

The development of computing has reawakened interest in algorithms. Often neglected by historians and modern scientists, algorithmic procedures have been instrumental in the development of fundamental ideas: practice led to theory just as much as the other way round. The purpose of this book is to offer a historical background to contemporary algorithmic practice.

Posted by **tanas.olesya** at Nov. 3, 2014

Springer; 2008 edition | June 6, 2008 | English | ISBN: 0387776095 | 246 pages | PDF | 5 MB

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice. This book is a key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms.

Posted by **fdts** at June 27, 2014

by Alberto Marchetti-Spaccamela, Michael Segal

English | 2011 | ISBN: 3642197531 | 275 pages | PDF | 3.36 MB

Posted by **ChrisRedfield** at Nov. 26, 2013

Published: 2006-03-02 | ISBN: 3540317589, 364206860X | PDF | 171 pages | 4 MB

Posted by **interes** at Nov. 11, 2013

English | 1997 | ISBN: 0471174203 | 440 pages | PDF | 12,5 MB

The first comprehensive review of the theory and practice of one of today's most powerful optimization techniques.

The explosive growth of research into and development of interior point algorithms over the past two decades has significantly improved the complexity of linear programming and yielded some of today's most sophisticated computing techniques.

Posted by **Direktor69** at March 27, 2013

ISBN: 3540317589 | edition 2006 | PDF | 179 pages | 4 mb

Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.

Posted by **interes** at Oct. 29, 2012

English | 2011 | ISBN: 3642197531 | 275 pages | PDF | 3,4 MB

This book constitutes the refereed proceedings of the First International ICST Conference on Theory and Practice of Algorithms in (Computer) Systems, TAPAS 2011, held in Rome, Italy, in April 2011. The 25 papers presented, including three short papers by invited speakers, were carefully reviewed and selected from 45 submissions. The papers all feature original research in the design, implementation and evaluation of algorithms with special focus on algorithms for combinatorial optimization problems, and to real-world applications, engineering and experimental analysis of algorithms - thus fostering the cooperation among researchers in computer science, networking, discrete mathematics, mathematical programming and operations research.

Posted by **tot167** at June 2, 2011

Sp,.ger | 2011 | ISBN: 3642197531 | 275 pages | PDF | 3,4 MB

Posted by **iBook** at Feb. 12, 2009

Oxford University Press, USA | 1996-01-11 | ISBN 0195099710 | DJVU | Pages 328 | 5.31 Mb