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 **TestTickles** at Jan. 9, 2017

EAC Rip | FLAC with CUE and log | scans | 138 mb

MP3 CBR 320kbps | RAR | 49 mb

Posted by **libr** at Dec. 21, 2016

English | 2014 | ISBN: 1848217439 | 184 pages | PDF | 3 MB

Posted by **ParRus** at Oct. 24, 2016

WEBRip | English | MP4 + PDF Guides + Excercises files | 960 x 540 | AVC ~76.2 kbps | 29.970 fps

AAC | 128 Kbps | 44.1 KHz | 2 channels | 28:38:37 | 2.78 GB

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Specific topics covered include: union-find algorithms; basic iterable data types (stack, queues, and bags); sorting algorithms (quicksort, mergesort, heapsort) and applications; priority queues; binary search trees; red-black trees; hash tables; and symbol-table applications.

Posted by **Without** at March 17, 2016

HDRip | AVI | 640x344 | XviD@943 Kbps | English MP3@128 Kbps | 2 channels | 1h 30mn | 698 MB

A freelance computer hacker discovers a mysterious government computer program. He breaks into the program and is thrust into a revolution.

Posted by **house23** at Nov. 17, 2015

MP4 | AVC 522kbps | English | 1280x720 | 29.97ps | 24 parts | AAC stereo 64kbps | 7.31 GB

This collection of video lectures provides a comprehensive exploration of fundamental data types, algorithms, and data structures, with an emphasis on applications and scientific performance analysis of Java implementations. The instructors offer readings related to these lectures that you can find in Algorithms, Fourth Edition, the leading textbook on algorithms today. These lectures provide another perspective on the material presented in the book and generally cover the material in the same order, though some book topics have been combined, rearranged, or omitted in the lectures.

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 **tukotikko** at Dec. 20, 2014

2013 | 124 Pages | ISBN: 3319018809 | PDF | 3 MB

Posted by **bookwyrm** at Oct. 6, 2014

2013 | 124 Pages | ISBN: 3319018809 | PDF | 3 MB

Posted by **interes** at Sept. 15, 2014

English | 2014 | ISBN: 1848217439 | 184 pages | PDF | 3 MB

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints.