Posted by **step778** at Sept. 11, 2017

2008 | pages: 740 | ISBN: 1849967202, 1848000693 | PDF | 4,8 mb

Posted by **roxul** at May 27, 2017

2005 | ISBN: 0321295358 | 864 pages | EPUB, MOBI, PDF | 22 MB

Posted by **interes** at Feb. 3, 2016

English | 2015 | ISBN: 1118660013 | 320 pages | PDF | 17,7 MB

Posted by **house23** at Nov. 9, 2015

MP4 | AVC 76kbps | English | 960x540 | 29.97ps | 19h 04mins | AAC stereo 108kbps | 1.67 GB

In this course you will learn several fundamental principles of advanced algorithm design. You'll learn the greedy algorithm design paradigm, with applications to computing good network backbones (i.e., spanning trees) and good codes for data compression. You'll learn the tricky yet widely applicable dynamic programming algorithm design paradigm, with applications to routing in the Internet and sequencing genome fragments. You’ll learn what NP-completeness and the famous “P vs. NP” problem mean for the algorithm designer. Finally, we’ll study several strategies for dealing with hard (i.e., NP-complete problems), including the design and analysis of heuristics. Learn how shortest-path algorithms from the 1950s (i.e., pre-ARPANET!) govern the way that your Internet traffic gets routed today; why efficient algorithms are fundamental to modern genomics; and how to make a million bucks in prize money by “just” solving a math problem!

Posted by **libr** at Oct. 22, 2015

English | 2013 | ISBN: 0471690562 | 1164 pages | PDF | 46,5 MB

Posted by **AlenMiler** at Sept. 23, 2015

English | 2015-09-20 | ASIN: B015MKW924 | 876 Pages | True MOBI (Kindle)/(EPUB/PDF conv) | 16.48 MB

This book is designed to provide a comprehensive introduction to the design and analysis of computer algorithms and data structures. We have made each chapter to be relatively independent of other chapters so as to provide instructors and readers greater flexibility with respect to which chapters to explore.

Posted by **ChrisRedfield** at May 12, 2015

Published: 2003-11-18 | ISBN: 0387955445, 1475780664 | PDF + DJVU | 403 pages | 9.77 MB

Posted by **tanas.olesya** at Jan. 26, 2015

English | Nov 14, 1997 | ISBN: 0387948600 | 496 Pages | DJVU | 5 MB

This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis.

Posted by **interes** at Dec. 7, 2014

English | 2014 | ISBN: 1118335910 | 800 pages | PDF | 12 MB

Posted by **tanas.olesya** at Nov. 12, 2014

Springer; 2002 edition | February 12, 2003 | English | ISBN: 3540003460 | 296 pages | PDF | 3 MB

Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances. Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and efficient software for applications.